Journal articles on the topic 'Camera-based product'
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N, Rajkumar, Anand M.G, and Barathiraja N. "Portable Camera-Based Product Label Reading For Blind People." International Journal of Engineering Trends and Technology 10, no. 11 (April 25, 2014): 521–24. http://dx.doi.org/10.14445/22315381/ijett-v10p303.
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Vineeth, K. Sai. "Design of a Portable Camera based Text and Product Label Reading Product for Blind People." International Journal for Research in Applied Science and Engineering Technology 6, no. 4 (April 30, 2018): 195–99. http://dx.doi.org/10.22214/ijraset.2018.4037.
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Ishii, Yoshie, Koji Masuda, Yoshinori Hayashi, Teruaki Mitsuya, and Shigeyuki Haruyama. "A STUDY ON TECHNOLOGY TREND OF CAMERA BY USING FI CODE IN JAPANESE PATENT." Journal of Engineering and Management in Industrial System 9, no. 1 (May 30, 2021): 68–73. http://dx.doi.org/10.21776/ub.jemis.2021.009.01.7.
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In development of technology and product, it’s important to make decisions based on technology trend. Some previous studies obtained technology trend based on patent information. In our previous study, we tried to investigate the state of innovation and the emergence of dominant design by using patent information. We analyzed inkjet printers and NC machines with theme codes and F term codes in Japanese patent classification codes. In this study, we tried to know the change of technology of other products other than inkjet printers or NC machines by using patent information. The target product of this study is camera. Camera products changed its key technology of imaging and recording from analogue film to digital imaging sensor and semiconductor memories. We attempted to obtain this change by using patent information.
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Bhandari, Harsh, Jayesh Mulay, Bhushan Gangurde, and Mr D. M. Shinde. "Bio-Medical Waste Management System." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (May 31, 2022): 2866–71. http://dx.doi.org/10.22214/ijraset.2022.42838.
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Abstract: Sorting of products is a very difficult industrial process. Continuous manual sorting creates consistency issues. This paper describes a working prototype designed for automatic sorting of objects based on the colour. We are using Pi camera to detect the object and the Raspberry Pi microcontroller was used to control the overall process. The identification of the biomedical Waste is based on the image processing using Pi camera module. Two conveyor belts were used, each controlled by separate Servo motors. The first belt is for placing the product to be analysed by the pi camera module, and the second belt is for moving the container, having separated compartments, in order to separate the products. The experimental results promise that the prototype will fulfil the needs for higher production and precise quality in the field of automation. Keywords: Raspberry pi, Servo Motor, Pi camera, Programming
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Rajagomathi, M., P. Sabareeswaran, A. Annamalai, and V. J. Arunkumar. "Portable Camera Based Assistive Text and Product Label Reading for Blind Persons." Special Issue 5, Special Issue 1 (2019): 264–75. http://dx.doi.org/10.23883/ijrter.conf.20190322.032.nfimh.
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Chen, Mo, Georges Fadel, and Ivan Mata. "Applications of affordance and cognitive ergonomics in virtual design: A digital camera as an illustrative case." Concurrent Engineering 30, no. 1 (December 9, 2021): 5–20. http://dx.doi.org/10.1177/1063293x211054132.
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Affordance-based design (ABD) plays an important role in identifying interactions, especially effortless ones, between users and artifacts. Cognitive ergonomics extends our understanding of this effortless interaction. This study combines the two design methodologies together in order to reduce cognitive friction in using digital products. The design process of a compact digital camera is selected as a case study that includes the design of the physical shape for a camera and of its user interface. In designing a product shape, a design toolbox was developed that integrated a modified multi-objective genetic algorithm and the ABD, which was named as affordance-based interactive genetic algorithm. Using this toolbox and interactive user feedback, the camera design evolves toward a product that better satisfies the users. User interfaces (UIs) including linear and elliptic layouts were subsequently designed based on cognitive ergonomics. A predictive tool of UI, the Cog Tool, was used to evaluate the performance of skilled users on a given task by correlating the overall task completion time. Finally, this research has the potential to not only effectively address the shortcomings of the design of consumer electronics but also enrich the generation of design solutions during the preliminary design phase of such products.
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Hercog, Darko, Primož Bencak, Uroš Vincetič, and Tone Lerher. "Product Assembly Assistance System Based on Pick-To-Light and Computer Vision Technology." Sensors 22, no. 24 (December 13, 2022): 9769. http://dx.doi.org/10.3390/s22249769.
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Product assembly is often one of the last steps in the production process. Product assembly is often carried out by workers (assemblers) rather than robots, as it is generally challenging to adapt automation to any product. When assembling complex products, it can take a long time before the assembler masters all the steps and can assemble the product independently. Training time has no added value; therefore, it should be reduced as much as possible. This paper presents a custom-developed system that enables the guided assembly of complex and diverse products using modern technologies. The system is based on pick-to-light (PTL) modules, used primarily in logistics as an additional aid in the order picking process, and Computer Vision technology. The designed system includes a personal computer (PC), several custom-developed PTL modules and a USB camera. The PC with a touchscreen visualizes the assembly process and allows the assembler to interact with the system. The developed PC application guides the operator through the assembly process by showing all the necessary assembly steps and parts. Two-step verification is used to ensure that the correct part is picked out of the bin, first by checking that the correct pushbutton on the PTL module has been pressed and second by using a camera with a Computer Vision algorithm. The paper is supported by a use case demonstrating that the proposed system reduces the assembly time of the used product. The presented solution is scalable and flexible as it can be easily adapted to show the assembly steps of another product.
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Dan, Bin, Shuang Peng, Xu Mei Zhang, and Kai Rao. "Product Variants Search and Retrieval Based on the Semantically Annotated Product Family Using Multi-Facet Domain Ontology." Advanced Materials Research 403-408 (November 2011): 4114–18. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.4114.
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For the purpose of solving product variant search and retrieval problems for non-professional customers, a search and retrieval framework is proposed based on the semantically annotated product family using multi-facet domain ontology. The method of developing multi-faceted domain ontology is discussed, and the annotation model is constructed，then the methodology of search and retrieval is presented in detail. Finally, an example of a digital camera family is employed to illustrate the proposed approach.
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Yaron, Yaron, Eran Keinan, Moshe Benhamu, Ronen Regev, and Garry Zalmanzon. "NATIONAL GUIDELINES FOR DIGITAL CAMERA SYSTEMS CERTIFICATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 3, 2016): 179–84. http://dx.doi.org/10.5194/isprsarchives-xli-b1-179-2016.
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Digital camera systems are a key component in the production of reliable, geometrically accurate, high-resolution geospatial products. These systems have replaced film imaging in photogrammetric data capturing. Today, we see a proliferation of imaging sensors collecting photographs in different ground resolutions, spectral bands, swath sizes, radiometric characteristics, accuracies and carried on different mobile platforms. In addition, these imaging sensors are combined with navigational tools (such as GPS and IMU), active sensors such as laser scanning and powerful processing tools to obtain high quality geospatial products. The quality (accuracy, completeness, consistency, etc.) of these geospatial products is based on the use of calibrated, high-quality digital camera systems. <br><br> The new survey regulations of the state of Israel specify the quality requirements for each geospatial product including: maps at different scales and for different purposes, elevation models, orthophotographs, three-dimensional models at different levels of details (LOD) and more. In addition, the regulations require that digital camera systems used for mapping purposes should be certified using a rigorous mapping systems certification and validation process which is specified in the Director General Instructions. The Director General Instructions for digital camera systems certification specify a two-step process as follows: <br><br> 1. Theoretical analysis of system components that includes: study of the accuracy of each component and an integrative error propagation evaluation, examination of the radiometric and spectral response curves for the imaging sensors, the calibration requirements, and the working procedures. <br><br> 2. Empirical study of the digital mapping system that examines a typical project (product scale, flight height, number and configuration of ground control points and process). The study examine all the aspects of the final product including; its accuracy, the product pixels size on the ground (spatial resolution), its completeness (missing pixels and striping affect), its radiometric properties (e.g., relative edge response) and its spectral characteristics (e.g., histogram spread, bands misalignment). <br><br> This methodology was tested on a number of medium to large format digital cameras. The certification process is a basic stage in the mapping chain in Israel. This article provides the details of the Director General Instructions for digital camera systems certification, the methodology for certification and the tests that were carried out.
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Yaron, Yaron, Eran Keinan, Moshe Benhamu, Ronen Regev, and Garry Zalmanzon. "NATIONAL GUIDELINES FOR DIGITAL CAMERA SYSTEMS CERTIFICATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 3, 2016): 179–84. http://dx.doi.org/10.5194/isprs-archives-xli-b1-179-2016.
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Digital camera systems are a key component in the production of reliable, geometrically accurate, high-resolution geospatial products. These systems have replaced film imaging in photogrammetric data capturing. Today, we see a proliferation of imaging sensors collecting photographs in different ground resolutions, spectral bands, swath sizes, radiometric characteristics, accuracies and carried on different mobile platforms. In addition, these imaging sensors are combined with navigational tools (such as GPS and IMU), active sensors such as laser scanning and powerful processing tools to obtain high quality geospatial products. The quality (accuracy, completeness, consistency, etc.) of these geospatial products is based on the use of calibrated, high-quality digital camera systems. <br><br> The new survey regulations of the state of Israel specify the quality requirements for each geospatial product including: maps at different scales and for different purposes, elevation models, orthophotographs, three-dimensional models at different levels of details (LOD) and more. In addition, the regulations require that digital camera systems used for mapping purposes should be certified using a rigorous mapping systems certification and validation process which is specified in the Director General Instructions. The Director General Instructions for digital camera systems certification specify a two-step process as follows: <br><br> 1. Theoretical analysis of system components that includes: study of the accuracy of each component and an integrative error propagation evaluation, examination of the radiometric and spectral response curves for the imaging sensors, the calibration requirements, and the working procedures. <br><br> 2. Empirical study of the digital mapping system that examines a typical project (product scale, flight height, number and configuration of ground control points and process). The study examine all the aspects of the final product including; its accuracy, the product pixels size on the ground (spatial resolution), its completeness (missing pixels and striping affect), its radiometric properties (e.g., relative edge response) and its spectral characteristics (e.g., histogram spread, bands misalignment). <br><br> This methodology was tested on a number of medium to large format digital cameras. The certification process is a basic stage in the mapping chain in Israel. This article provides the details of the Director General Instructions for digital camera systems certification, the methodology for certification and the tests that were carried out.
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Karaeng, M. A., S. Saehana, and U. Wahyono. "Refractor telescope design using web camera." Journal of Physics: Conference Series 2126, no. 1 (November 1, 2021): 012006. http://dx.doi.org/10.1088/1742-6596/2126/1/012006.
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Abstract The purpose of this study was to develop a refractor telescope using a web camera as learning media. It was the Research and Development (R&D) study which referred to the model modified by Sugiyono. The product was evaluated by a media expert and undergraduate students of Sub-Department of Physics Education, Tadulako University using questionnaires with a 4-point Likert scale. The product quality data obtained were analyzed using descriptive analysis. The quality of the product based on the analysis of the media expert’s assessment was good with the average score of 2.92. Meanwhile, the results of student responses to the limited trial obtained a score of 3.20 which indicated the agreement of usability. The test results and questionnaire analysis showed that the refractor telescope using the developed Web Camera (WebCam) is feasible to be used as learning media.
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Wang, Chang, and Jing Jing Gao. "The Detection of Surface Quality On-Line Based on Machine Vision in the Production of Bearings." Applied Mechanics and Materials 319 (May 2013): 523–27. http://dx.doi.org/10.4028/www.scientific.net/amm.319.523.
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The combining of digital image processing technique and pattern recognition technique, it can be wild used in the products of industry classification and recognition Line bearing assembly defects in this article for the detection and identification of needs, Automatic detection system based on machine vision, contrast measurement plane array camera on a different surfaceImage acquisition, binarization processing for subsequent pretreatment image pattern recognition, feature extraction and eigenvalue comparison, product line surface defect detection and identification.
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Bandara, Hasitha Eranda, Susantha Wijesinghe, and Manjula Wickramasinghe. "Camera Self-Triggering Mechanism for Optimal Image Capturing." ECS Transactions 107, no. 1 (April 24, 2022): 1467–74. http://dx.doi.org/10.1149/10701.1467ecst.
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Detection and distortion-less image capturing are important steps in machine vision systems. For this purpose, additional hardware-based detecting methods and distortion filtering methods are used. Especially in vision-based product quality monitoring systems, detecting targets and capturing images with minimum distortion is critical to the defect detection process. Therefore, photoelectric sensors and multi-camera-based sensing systems are used to detect the targets. However, it is highly desirable if a single camera can do both of the functions. This paper presents a camera self-triggering mechanism for conveyor targets using a single camera-based system and no other sensing devices. It works with background subtraction and SIFT-based keypoint matching techniques. The proposed method has been tested for three types of sample sets with two convener speeds on the experimental setup. The results revealed that the proposed method has a high potential to generate triggering signal of the camera in best capturing point correctly.
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Zhou, Kaichen, Changhao Chen, Bing Wang, Muhamad Risqi U. Saputra, Niki Trigoni, and Andrew Markham. "VMLoc: Variational Fusion For Learning-Based Multimodal Camera Localization." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 7 (May 18, 2021): 6165–73. http://dx.doi.org/10.1609/aaai.v35i7.16767.
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Recent learning-based approaches have achieved impressive results in the field of single-shot camera localization. However, how best to fuse multiple modalities (e.g., image and depth) and to deal with degraded or missing input are less well studied. In particular, we note that previous approaches towards deep fusion do not perform significantly better than models employing a single modality. We conjecture that this is because of the naive approaches to feature space fusion through summation or concatenation which do not take into account the different strengths of each modality. To address this, we propose an end-to-end framework, termed VMLoc, to fuse different sensor inputs into a common latent space through a variational Product-of-Experts (PoE) followed by attention-based fusion. Unlike previous multimodal variational works directly adapting the objective function of vanilla variational auto-encoder, we show how camera localization can be accurately estimated through an unbiased objective function based on importance weighting. Our model is extensively evaluated on RGB-D datasets and the results prove the efficacy of our model. The source code is available at https://github.com/Zalex97/VMLoc.
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Tayag, Marlon Intal, Francisco Napalit, and Arcely Napalit. "IoT Security: Penetration Testing of White-label Cloud-based IoT Camera Compromising Personal Data Privacy." International Journal of Computer Science and Information Technology 12, no. 5 (October 30, 2020): 29–40. http://dx.doi.org/10.5121/ijcsit.2020.12503.
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The Internet is driving force on how we communicate with one another, from posting messages and images to Facebook or “tweeting” your activities from your vacation. Today it is being used everywhere, now imagine a device that connects to the internet sends out data based on its sensors, this is the Internet-ofThings, a connection of objects with a plethora of sensors. Smart devices as they are commonly called, are invading our homes. With the proliferation of cheap Cloud-based IoT Camera use as a surveillance system to monitor our homes and loved ones right from the palm of our hand using our smartphones. These cameras are mostly white-label product, a process in which the product comes from a single manufacturer and bought by a different company where they are re-branded and sold with their own product name, a method commonly practice in the retail and manufacturing industry. Each Cloud-based IoT cameras sold are not properly tested for security. The problem arises when a hacker, hacks into the Cloud-based IoT Camera sees everything we do, without us knowing about it. Invading our personal digital privacy. This study focuses on the vulnerabilities found on White-label Cloud-based IoT Camera on the market specifically on a Chinese brand sold by Shenzhen Gwelltimes Technology. How this IoT device can be compromised and how to protect our selves from such cyber-attacks.
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Gordic, Zavisa, and Claudio Ongaro. "Calibration of robot tool centre point using camera-based system." Serbian Journal of Electrical Engineering 13, no. 1 (2016): 9–20. http://dx.doi.org/10.2298/sjee1601009g.
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Robot Tool Centre Point (TCP) calibration problem is of great importance for a number of industrial applications, and it is well known both in theory and in practice. Although various techniques have been proposed for solving this problem, they mostly require tool jogging or long processing time, both of which affect process performance by extending cycle time. This paper presents an innovative way of TCP calibration using a set of two cameras. The robot tool is placed in an area where images in two orthogonal planes are acquired using cameras. Using robust pattern recognition, even deformed tool can be identified on images, and information about its current position and orientation forwarded to control unit for calibration. Compared to other techniques, test results show significant reduction in procedure complexity and calibration time. These improvements enable more frequent TCP checking and recalibration during production, thus improving the product quality.
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Jiao, He Jin. "Improving Usability of Camera Preview with Aesthetical Rule in Digital Design Environment." Advanced Materials Research 271-273 (July 2011): 68–73. http://dx.doi.org/10.4028/www.scientific.net/amr.271-273.68.
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We propose a method in this paper which improves the speed and effects of visualization process in product concept design. In digital product design software, the preview mode and render mode are for simple usage without optimization. The designers need to adjust the view by themselves. To improve the preview result for more usability, we defined a method based on aesthetical rules. The rule defines the virtual camera used in design software in which how target object will be shown. Then it is used to compute the movement of the camera in virtual environment. The movement path is computed automatically among different preview angles for even different preview targets.
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YAN, JUNQI, JUNYING SHEN, and WEIMING SHEN. "A STUDY ON TELE-COLLABORATIVE PRODUCT DEVELOPMENT." International Journal of Information Technology & Decision Making 01, no. 03 (September 2002): 441–55. http://dx.doi.org/10.1142/s0219622002000282.
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The tele-collaborative product development (TeleCo-PD) is an important technology for modern enterprises to win in the 21st century global market. It concerns how to utilize distributed product development resources to design and manufacture a new product. This paper presents a series of tools developed to construct a TeleCo-PD platform, which provides small and middle size enterprises with the ability to collaborate with each other. The proposed platform is based on an Integrated Service Digital Network (ISDN), with a Client/Server based process management system for defining and assigning tasks, a whiteboard for sharing engineering drawings, and a File Transfer Protocol server for transferring product data files. The platform has been deployed in a virtual enterprise in developing a new digital camera.
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Keinan, E., N. Shwarts, O. Siman Tov, H. Ronen, and R. Regev. "ISRAELI NATIONAL AERIAL DATA CAPTURING STANDARD FOR GENERATION OF DIGITAL GEOSPATIAL PRODUCTS AT NATIONAL SCALE." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2022 (May 30, 2022): 65–70. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2022-65-2022.
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Abstract. Digital camera systems are a key component in the production of reliable, geometrically accurate, high-resolution geospatial products in a national scale. These systems have replaced film imaging in photogrammetric data capturing. Today, we are witnessing a proliferation of imaging sensors, collecting images in different ground resolutions, spectral bands, swath sizes, radiometric characteristics and accuracies being carried on varied mobile platforms. In addition, these imaging sensors combined with navigational tools (such as GPS and IMU), active sensors such as laser scanning and powerful processing tools, to obtain high quality geospatial products. The quality of these geospatial products based on the utilization of calibrated, high-quality digital camera systems.The new Survey of Israel (SOI) regulations specify the quality requirements for each geospatial product including maps at different scales and for different purposes, elevation models, ortho imagery etc. In addition, the regulations require that digital camera systems utilized for mapping purposes should be certified, using a rigorous mapping systems certification and validation process, which are specified in the SOI Director General Instructions (DGI).In 2019 the SOI has updated the camera certification and validation procedure and published a new national aerial capturing standard for digital geospatial products as a basis for the public bid in three main fields:Aerial data capturing including ground control points (GCP) measurements and aerial triangulation.Ortho imagery in several ground resolution distance (GSD) and several projections.Digital Elevation models including: points clouds, Digital Surface Model (DSM) and Digital Terrain Model (DTM). This article provides the details of the Israeli Directive for camera certification and Standard for digital geospatial products including the main technical requirements of the public bid that was carried out.
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Tymków, Przemysław, Grzegorz Jóźków, Agata Walicka, Mateusz Karpina, and Andrzej Borkowski. "Identification of Water Body Extent Based on Remote Sensing Data Collected with Unmanned Aerial Vehicle." Water 11, no. 2 (February 16, 2019): 338. http://dx.doi.org/10.3390/w11020338.
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The paper presents an efficient methodology of water body extent estimation based on remotely sensed data collected with UAV (Unmanned Aerial Vehicle). The methodology includes the data collection with selected sensors and processing of remotely sensed data to obtain accurate geospatial products that are finally used to estimate water body extent. Three sensors were investigated: RGB (Red Green Blue) camera, thermal infrared camera, and laser scanner. The platform used to carry each of these sensors was an Aibot X6—a multirotor type of UAV. Test data was collected at 6 sites containing different types of water bodies, including 4 river sections, an old river bed, and a part of a lake shore. The processing of collected data resulted in 2.5-D and 2-D geospatial products that were used subsequently for water body extent estimation. Depending on the type of used sensor, the created geospatial product, and the type of the water body and the land cover, three strategies employing image processing tools were developed to estimate water body range. The obtained results were assessed in terms of classification accuracy (distinguishing the water body from the land) and geometrical planar accuracy of the water body extent. The product identified as the most suitable in water body detection was four bands RGB+TIR (Thermal InfraRed) ortho mosaic. It allowed to achieve the average kappa coefficient of the water body identification above 0.9. The planar accuracy of water body extent varied depending on the type of the sensor, the geospatial product, and the test site conditions, but it was comparable with results obtained in similar studies.
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Ichlasul Naufal Hakim and Imam Nuryanto. "PENGARUH KUALITAS PRODUK, HARGA, KEPERCAYAAN MEREK DAN CITRA MEREK TERHADAP KEPUTUSAN PEMBELIAN KAMERA DIGITAL CANON DI SEMARANG." Jurnal Ilmiah Manajemen, Bisnis dan Kewirausahaan 1, no. 2 (March 7, 2021): 10–16. http://dx.doi.org/10.55606/jurimbik.v1i2.118.
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Purchasing decision are the decision of consumers to buy a product that previously thought about worthy or not to buy the product by considering the information that is known by the reality of the product after seeing it. There are several factors that affect the purchasing decision, namely the product quality, price, brand trust and brand image. The object of the research is Canon digital cameras which are on Top Brand Index in 2014-2018, where the Canon digital cameras always ranked at the top. But here the Canon digital cameras has proved that when many competitors are surrounded, Canon digital cameras has always ranked first on the TBI and the digital camera Canon's product is superior to other products. The purpose of the research was to analyze the influence of the product quality, price, brand trust and brand image on purchasing decision. The population of the research was that consumers who ever and wear the camera Canon digital, a company based in Semarang and aged over 17 years. The numbers are unknown and sample taken 100 respondents. Sample technique by using purposive sampling. The type of data used is. primary data, method of data collection using the questionnaire and analysis techniques used is multiple linear regression. The results of the analysis showed: product quality has a positive and significant influence on purchasing decision, price proved to have a positive and significant influence on purchasing decision, brand trust significant has a positive and influence on purchasing decision, brand image proved to have a positive and significant influence on purchasing decision.
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Ezriani, Nizwardi Jalinus, and Jamaris Jamna. "The Development of Competency-Based Training Model for Studio Operational Techniques About Problem Based Learning for Camera Operator Instructors." International Journal of Management and Humanities 5, no. 7 (March 30, 2021): 54–61. http://dx.doi.org/10.35940/ijmh.g1259.035721.
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This development research is aimed to develop training procedures that can help participants implement the results of the training in their respective assignments. Validation is carried out by experts in education by providing a questionnaire to fill out. This method was chosen so that the validator can provide conclusions (invalid, less valid, quite valid, valid, and very valid) directly on each part of the research product which includes competency-based training guides, training programs, lesson plans, and problem-based learning design modules for studio operational instructor, camera operator subject.
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Yi, Chucai, Yingli Tian, and Aries Arditi. "Portable Camera-Based Assistive Text and Product Label Reading From Hand-Held Objects for Blind Persons." IEEE/ASME Transactions on Mechatronics 19, no. 3 (June 2014): 808–17. http://dx.doi.org/10.1109/tmech.2013.2261083.
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Boesch, R., Y. Bühler, M. Marty, and C. Ginzler. "COMPARISON OF DIGITAL SURFACE MODELS FOR SNOW DEPTH MAPPING WITH UAV AND AERIAL CAMERAS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 453–58. http://dx.doi.org/10.5194/isprs-archives-xli-b8-453-2016.
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Photogrammetric workflows for aerial images have improved over the last years in a typically black-box fashion. Most parameters for building dense point cloud are either excessive or not explained and often the progress between software releases is poorly documented. On the other hand, development of better camera sensors and positional accuracy of image acquisition is significant by comparing product specifications. This study shows, that hardware evolutions over the last years have a much stronger impact on height measurements than photogrammetric software releases. <br><br> Snow height measurements with airborne sensors like the ADS100 and UAV-based DSLR cameras can achieve accuracies close to GSD * 2 in comparison with ground-based GNSS reference measurements. Using a custom notch filter on the UAV camera sensor during image acquisition does not yield better height accuracies. UAV based digital surface models are very robust. Different workflow parameter variations for ADS100 and UAV camera workflows seem to have only random effects.
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Boesch, R., Y. Bühler, M. Marty, and C. Ginzler. "COMPARISON OF DIGITAL SURFACE MODELS FOR SNOW DEPTH MAPPING WITH UAV AND AERIAL CAMERAS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 453–58. http://dx.doi.org/10.5194/isprsarchives-xli-b8-453-2016.
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Photogrammetric workflows for aerial images have improved over the last years in a typically black-box fashion. Most parameters for building dense point cloud are either excessive or not explained and often the progress between software releases is poorly documented. On the other hand, development of better camera sensors and positional accuracy of image acquisition is significant by comparing product specifications. This study shows, that hardware evolutions over the last years have a much stronger impact on height measurements than photogrammetric software releases. <br><br> Snow height measurements with airborne sensors like the ADS100 and UAV-based DSLR cameras can achieve accuracies close to GSD * 2 in comparison with ground-based GNSS reference measurements. Using a custom notch filter on the UAV camera sensor during image acquisition does not yield better height accuracies. UAV based digital surface models are very robust. Different workflow parameter variations for ADS100 and UAV camera workflows seem to have only random effects.
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Jati, Dimas Pratama, and Muhammad Rifqi Maarif. "THE DEVELOPMENT OF CHATBOT APPLICATION ON LINE MESSAGING PLATFORM FOR CUSTOMER SERVICE IN JOGJA SEWA KAMERA." Compiler 7, no. 2 (October 31, 2018): 91. http://dx.doi.org/10.28989/compiler.v7i2.368.
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In recent days, customer care is one of the pivotal aspects in business environment. Quick and reliable response to any of customer question was highly correlated to customer satisfaction and obviously affect the conversion rate of any kind of products or services offered to them. Jogja Sewa Camera is a small company which the main business is to rent a camera. That company serve no less than 25 booking request and questions about the product they offered to the customer. With the limitation of operational staff, the work for responding the customer booking request and question is a bit overwhelmed. Thus, an automated mechanism was built in this research to help the company to handle the customer service. In this research, a chatbot based on Line Messaging Platform was developed for automatic customer service. This chatbot can answer any of frequent or common question and booking request from the customer.
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Park, Min Ki, Kyu Je Lim, Myoung Kook Seo, Soon Jong Jung, and Kwan H. Lee. "Spatial augmented reality for product appearance design evaluation." Journal of Computational Design and Engineering 2, no. 1 (December 6, 2014): 38–46. http://dx.doi.org/10.1016/j.jcde.2014.11.004.
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Abstract Augmented reality based on projection, called “Spatial Augmented Reality (SAR)”, is a new technology that can produce immersive contents by overlapping virtuality and real-world environment. It has been paid attention as the next generation digital contents in media art and human–computer interaction (HCI). In this paper, we present a new methodology to evaluate the product appearance design more intuitively by means of SAR technique. The proposed method first projects the high-quality rendered image considering the optical property of materials onto the mock-up of a product. We also conduct a projector-camera calibration to compensate a color distortion according to a projector, a projection surface and environment lighting. The design evaluation methodology we propose offers more flexible and intuitive evaluation environment to a designer and user (evaluator) than previous methods that are performed via a digital display. At the end of this research, we have conducted a case study for designing and evaluating appearance design of an automobile.
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Ghuguskar, Aishwarya. "Portable Camera based Assistive Text and Product Label -Reading from Hand-Held Object for Visually Impaired Person." International Journal for Research in Applied Science and Engineering Technology 7, no. 3 (March 31, 2019): 182–86. http://dx.doi.org/10.22214/ijraset.2019.3030.
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Zhang, Xinman, Weiyong Gong, and Xuebin Xu. "Magnetic Ring Multi-Defect Stereo Detection System Based on Multi-Camera Vision Technology." Sensors 20, no. 2 (January 10, 2020): 392. http://dx.doi.org/10.3390/s20020392.
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Magnetic rings are the most widely used magnetic material product in industry. The existing manual defect detection method for magnetic rings has high cost, low efficiency and low precision. To address this issue, a magnetic ring multi-defect stereo detection system based on multi-camera vision technology is developed to complete the automatic inspection of magnetic rings. The system can detect surface defects and measure ring height simultaneously. Two image processing algorithms are proposed, namely, the image edge removal algorithm (IERA) and magnetic ring location algorithm (MRLA), separately. On the basis of these two algorithms, connected domain filtering methods for crack, fiber and large-area defects are established to complete defect inspection. This system achieves a recognition rate of 100% for defects such as crack, adhesion, hanger adhesion and pitting. Furthermore, the recognition rate for fiber and foreign matter defects attains 92.5% and 91.5%, respectively. The detection speed exceeds 120 magnetic rings per minutes, and the precision is within 0.05 mm. Both precision and speed meet the requirements of real-time quality inspection in actual production.
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Pratama, Fandy Surya, Istianah Muslim, and Muhammad Ihsan Zul. "Digitalization of Human Head Anthropometry Measurement Using Pixels Measurement Method." IJITEE (International Journal of Information Technology and Electrical Engineering) 2, no. 3 (February 20, 2019): 63. http://dx.doi.org/10.22146/ijitee.43698.
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Head Anthropometry is a part of anthropometry that needed to be measured carefully. It is because human head becomes an important part that necessary to be protected. The protection aims to look after the safety of the human head. Safety factors can be achieved by designing head products. Therefore, head anthropometry data is required to make a product design Currently, data retrieval of head anthropometry is still using several measuring devices such as anthropometers, sliding callipers, spreading callipers, and tape gauges. This measurement method makes the standard deviation become higher and also take a lot of time to capture huge amounts of anthropometry data. However, the problem has been resolved by other study research with building a head dimension measurement system using digital camera. But the system still need the integration with digital camera. This study uses the IP Camera that has been integrated with the system to capture human head from the front and side. The captured image is segmented into several areas based on head dimension. Then, the image is processed using pixel measurement method by performing feature extraction on each head dimension to get the result of head dimension measurement. The result shows that calliper measurement and system measurement against ten of fourteen human head anthropometry dimensions is identical with the best distance between IP Camera and the head as far as 200 cm. This head anthropometry data is expected to make a contribution to Indonesian Ergonomics Society.
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Wueller, Dietmar. "Corner cases and limitations using a DOE based geometric camera calibration." Electronic Imaging 2021, no. 9 (January 18, 2021): 216–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.9.iqsp-216.
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Several years ago, the geometric calibration of cameras based on diffractive optical elements was invented, and since October 2020 the first product is commercially available.A laser beam is expanded, and the plane wave falls onto a diffractive optical element. The DOE generates a regular grid of light dots that virtually originates from infinity.This structure is then captured with the device under test and the dot positions are detected. From the positions, the required values can be calculated.The potential of the method, the compactness of the setup and the ease of use have brought up many desires that so far had not been addressed.Amongst these are: <list list-type="order"> <list-item>Calibration of extreme wide field of view cameras > 140°.</list-item> <list-item>Calibration of cameras/lens combinations with a large entrance pupil.</list-item> <list-item>Increased camera DOE distance to, e.g., measure cameras behind a windshield in automotive applications.</list-item> <list-item>Camera pairs with a stereo base significantly exceeding 60 mm.</list-item> <list-item>Deriving the point spread function of the system at every light dot to use the method for more than just distortion measurement, e.g., MTF determination or visualization.</list-item> </list>There are also a few limitations compared to the conventional methods: <list list-type="lower-alpha"> <list-item>Measurement at infinity only</list-item> <list-item>Stereo basis cannot be measured due to translation invariance of the method</list-item> <list-item>Determination of chromatic aberration</list-item> <list-item>Limited application of a single DOE (due to resolution of the camera and field of view)</list-item> </list>All these desires and limitations are discussed, and solutions are presented where possible.
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Puyda, Volodymyr. "Computer vision system for research in the area of defectoscopy for materials and products." Computer systems and network 4, no. 1 (December 16, 2022): 122–30. http://dx.doi.org/10.23939/csn2022.01.122.
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In many cases, visual and optical methods can be used in defectoscopy for different materials and products. With the development of microprocessor components and significant expansion of usage of computer technologies and image processing and analysis techniques in different areas, the use of visual and optical methods in defectoscopy for production and research purposes is rapidly developing. In this paper, the author proposes a computer vision system for experiments and research in the area of studying defects of materials and products. The system uses modern methods of image processing and object identification based on their images. The system allows to install the object so that it can be rotated horizontally, take high-quality images of the object using a digital video camera, pre- process images to enhance image quality using a local computing module, transfer images to the main computing module to identify defects and make decisions about rejection of the material or product. To install and rotate the material or product, the author uses the stepper motor 17HS4401 and a horizontal platform fixed on the vertical axis. The stepper motor is controlled using Microstep Driver TB6600 and a local computing module based on a microcontroller with an ARM Cortex-M7 core. The video stream is recorded using a USB microscope video camera which provides sufficiently high image resolution allowing to find defects on the object surface of size 50 micron and larger. Rotation speed can be controlled using a local computing module. The input data for the local computing module can be provided in the form of a video stream or a sequence of images. The local computing module has an LCD screen based on the ВС1602А indicator, programmable LEDs, a keyboard to select operating modes for the stepper motor, a USB port to connect the microscope video camera and an SWD port to program the Flash memory and debug the firmware in real time. Original images or the images after quality enhancement are passed to the main computing module using the SPI interface. The author has developed software for the local computing module to control the stepper motor, record a video stream or series of images of the object area with possible defects, quality enhancement and passing the video stream or images to the main computing module for further processing and analysis. The results can be used in scientific research and in development of automated systems for non-destructive defectoscopy for materials and end products.
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Kumar, Akshi, Simran Seth, Shivam Gupta, and Shubham. "Sentiment-Enhanced Content-Based System for Online Recommendations and Rating Prediction." International Journal of Gaming and Computer-Mediated Simulations 12, no. 2 (April 2020): 1–25. http://dx.doi.org/10.4018/ijgcms.2020040101.
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The scarcity of dependable product descriptions and limited emotion unmasking capabilities of user-ratings compromise the accuracy of content-based filtering (CBF) systems. This work puts forward a sentiment-enhanced content-based recommender system (SEC-Rec). The model has four modules, namely key feature extraction module, feature sentiment analysis module, recommendation module, and rating prediction module. Key feature extraction module uses hybrid of RAKE and TextRank to uncover key product features. The authors propose a hybridized model HSVADER (Hybrid SVM and VADER) for feature sentiment evaluation. The recommendation module combines sentiment and similarity for robust product ranking strategy. The practical benefits of SEC-Rec are demonstrated using Amazon Camera dataset, and the results are compared to the state of the art. The rating prediction module uses key feature sentiment score to estimate the overall user-rating resolving the multi-criteria decision-making issue. The RMSE value obtained ascertains the effectiveness of the approach compared to recent models.
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Guo, Ling, and Peng Wang. "Art Product Design and VR User Experience Based on IoT Technology and Visualization System." Journal of Sensors 2021 (December 20, 2021): 1–10. http://dx.doi.org/10.1155/2021/6412703.
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Based on the Internet of Things technology, this paper analyzes the concept and basic characteristics of visualization technology and builds a visualization digital art product information system based on VRML virtual reality technology. This article first explains the background and significance, analyzes the research status at home and abroad, introduces the application of virtual realization technology, and puts forward the technical route and main research content on this basis. After field inspection of art products, the system was analyzed according to the actual situation. After analyzing the needs and goals of the system, the overall structure of the system was proposed. Under the overall framework, this paper designs the system and designs the system’s visualization and real-time interaction modules. At the same time, combined with VRML technology to realize the visual 3D modeling of virtual art products, we establish the 3D model of the entire art product. Users can choose between role roaming and camera roaming. Finally, we made a summary statement to the full text and looked forward to the application prospects and development trends of information visualization technology in digital art products. During the experiment, by calling the HTC method in the Unity 3D system, this article uses the Unity 3D engine to implement UI scene loading and VR rendering technology optimization and realizes design knowledge through the integration of art product design models and IoT data interactive functions and dynamic loading of scenes. The effect of the model on the quality prediction is analyzed through experiments. The results show that the performance of the former is better than the latter two models, and it has a good performance on unbalanced data processing, which verifies the performance and effectiveness of the algorithm model.
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Chy, Md Kalim Amzad, Abdul Kadar Muhammad Masum, Kazi Abdullah Mohammad Sayeed, and Md Zia Uddin. "Delicar: A Smart Deep Learning Based Self Driving Product Delivery Car in Perspective of Bangladesh." Sensors 22, no. 1 (December 25, 2021): 126. http://dx.doi.org/10.3390/s22010126.
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The rapid expansion of a country’s economy is highly dependent on timely product distribution, which is hampered by terrible traffic congestion. Additional staff are also required to follow the delivery vehicle while it transports documents or records to another destination. This study proposes Delicar, a self-driving product delivery vehicle that can drive the vehicle on the road and report the current geographical location to the authority in real-time through a map. The equipped camera module captures the road image and transfers it to the computer via socket server programming. The raspberry pi sends the camera image and waits for the steering angle value. The image is fed to the pre-trained deep learning model that predicts the steering angle regarding that situation. Then the steering angle value is passed to the raspberry pi that directs the L298 motor driver which direction the wheel should follow. Based upon this direction, L298 decides either forward or left or right or backwards movement. The 3-cell 12V LiPo battery handles the power supply to the raspberry pi and L298 motor driver. A buck converter regulates a 5V 3A power supply to the raspberry pi to be working. Nvidia CNN architecture has been followed, containing nine layers including five convolution layers and three dense layers to develop the steering angle predictive model. Geoip2 (a python library) retrieves the longitude and latitude from the equipped system’s IP address to report the live geographical position to the authorities. After that, Folium is used to depict the geographical location. Moreover, the system’s infrastructure is far too low-cost and easy to install.
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Dalmoro, Marlon, Giuliana Isabella, Stefânia Ordovás de Almeida, and João Pedro dos Santos Fleck. "Developing a holistic understanding of consumers’ experiences." European Journal of Marketing 53, no. 10 (October 7, 2019): 2054–79. http://dx.doi.org/10.1108/ejm-10-2016-0586.
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Purpose This paper aims to investigate how the physical and sensory environmental triggers interact with subjective consumer evaluations in the production of shopping experiences, an under-investigated theme, despite its relevance. Design/methodology/approach An interpretative multi-method approach was used by combining video observation with camera eyeglasses and in-depth interviews with 30 customers of a department store. Findings Results offer a holistic framework with four-dimensional axial combination involving physical comfort, psychological comfort, physical product evaluation and sensorial product evaluation. Based on this framework, results highlight the role of comfort and products in producing shopping experience in ordinary store visits. Research limitations/implications The findings contribute both to consumer experience studies and to the retail marketing literature in shading a light on experience production in ordinary store visits. Specifically, we detail these visits not as a static response to a given environment stimulus, but as a simultaneous objective and subjective combination able to produce experience. Practical implications The results encourage managers to understand the experience production not just as an outcome of managerially influenced elements, like décor or odor. It involves considering subjective elements in the design of consumers’ physical and sensorial retail experiences. Originality/value Adopting an innovative method of empirical data collection, results generated a framework that integrates the objective shopping environment and subjective consumer responses. This research considers the role of comfort and product features and quality both physically and sensorially to develop experiences in a holistic manner in ordinary shopping visits.
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Junaedi, Hartarto, Jaya Pranata, Mochamad Hariadi, and I. Ketut Eddy Purnama. "Penempatan Posisi Multi Kamera Berdasarkan Gaya Sutradara Berbasis Logika Fuzzy." Jurnal Teknologi Informasi dan Ilmu Komputer 5, no. 6 (November 22, 2018): 687. http://dx.doi.org/10.25126/jtiik.2018561117.
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<p class="Abstrak">Teknologi komputer saat ini telah banyak digunakan dalam pengembangan animasi atau permainan komputer. Salah satu teknologi itu adalah <em>machinima </em>yaitu suatu sistem yang menggunakan teknologi mesin grafik 3D untuk menghasilkan produk sinematik secara <em>real time</em>. Dalam proses pembuatan produk sinematik itu penempatan posisi kamera sangat memegang peranan penting. Penempatan posisi kamera ini tentu harus sesuai dengan kaidah-kaidah sinematografi. Penelitian ini akan mengusulkan sebuah pendekatan agen cerdas dengan multi perilaku untuk menempatkan kamera <em>virtual</em> dalam lingkungan <em>virtual </em>secara otomatis sesuai dengan gaya seorang sutradara. Setiap kamera <em>virtual </em>itu akan memiliki perilaku yang berbeda berdasarkan kaidah sinematografi sehingga memiliki <em>Point of View</em> (POV) yang berbeda. Untuk memberikan perilaku pada kamera <em>virtual</em> akan digunakan pendekatan berbasis logika fuzzy dengan menggunakan metode <em>mamdani</em>. Jumlah variabel masukan yang digunakan sejumlah tiga dan variabel keluaran sejumlah tiga dengan <em>membership function </em>antara tiga sampai lima. Penelitian ini akan menggunakan simulasi permainan komputer dengan tiga kamera <em>virtual</em> dengan perilaku yang berbeda untuk merekam adegan yang sama dan hasilnya akan divalidasi berdasarkan hasil pengamatan dengan komunitas juru foto. Pada akhirnya dapat diambil kesimpulan bahwa pendekatan logika fuzzy dapat digunakan untuk memberikan sebuah perilaku atau gaya sutradara pada kamera <em>virtual</em>.</p><p class="Abstrak"><strong>Abstract</strong></p><p class="Abstract">Computer technology is has been used widely in the development of animation or computer games. One of the technologies is machinima, a system that uses reak time 3D graphics engine technology to produce cinematic products. In the process of develop a cinematic product, camera positioning is a very important component. The camera positioning must be comply with cinematography’s rule. This research will propose an intelligent multi agent behavior to positining a virtual camera in a virtual environment automatically according to the director’s style. Each virtual camera will have a different behavior based on cinematographic rules so that it has a different Point of View (POV). To assign a behavior on the virtual camera will be based on fuzzy logic using the mamdani method. The number of input variables are three and the output variables are three with the number membership functions between three to five. This research will program a computer game simulation with three multi behavior virtual cameras to capture some scene and the results will be validated based on observations with the photographer community. Finally it can be concluded that the fuzzy logic approach can be used to assign some behavior to a virtual camera.</p>
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Jing, Haiquan, Yi Cheng, Xuhui He, Xu Zhou, and Jia He. "Thickness Measurement of Water Film/Rivulets Based on Grayscale Index." Remote Sensing 11, no. 23 (December 3, 2019): 2871. http://dx.doi.org/10.3390/rs11232871.
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This study proposed a nonintrusive and cost-efficient technique to measure the thickness of a thin water film/rivulet based on the grayscale index. This technique uses millions of probes and only needs a digital camera, fill lights, and pigment. For water colored with diluted pigment, the grayscale index of the water captured by a digital camera depends on the water thickness. This relationship can be utilized to measure the water thickness through digital image processing. In the present study, the relationship between the grayscale index and water thickness was theoretically and experimentally investigated. Theoretical derivation revealed that when the product of water thickness and the color density approaches to 0, the grayscale index is inversely proportional to the thickness. The experimental results show that under the color density of 0.05%, the grayscale index is inversely proportional to the thickness of water film when the thickness is less than 6 mm. This linear relationship was utilized to measure the distribution and profile of a water rivulet flowing on the lower surface of a cable model.
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Shankar, Mr S. Ohm. "IVA for Visually Impaired People Using Raspberry PI." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (June 30, 2022): 1928–33. http://dx.doi.org/10.22214/ijraset.2022.44188.
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Abstract: Disability is a condition in which a person must rely on others for their basic needs. One of a person's limitations is a visual impairment. To date, a number of ways for improving the lives of visually impaired and blind persons have been proposed. Purchasing groceries in the store without the assistance of others remains a difficult task for them. We offer a camera-based assistive text reading system that can help blind persons read text labels and product packaging on common objects. We rest present an ancient and active motion-based way to define a region of interest (ROI) in the video by requesting the user to shake the object to isolate it from cluttered backdrops or other surrounding objects in the camera view. Audio guidance based on realtime situations will aid them inside the supermarket. The ultimate goal of this system is to eliminate all other forms of assistance for visually impaired shoppers and to give them with a convenient and sophisticated environment. When this method is implemented, it makes shopping easier for blind people, saves time for customers, and increases business sales. We look at user interface difficulties and evaluate the algorithm's ability to extract and read text from objects with complex backgrounds. In this Shopping trolley technology to identify the product placed due to machine learning and accuracy location
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Li, Zhan Li, and Zhou Han. "Research and Development of Vision Measurement System with Marked Targets." Applied Mechanics and Materials 336-338 (July 2013): 2003–7. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.2003.
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Aiming at the problem of 3D measurement to product in industrial, a vision measurement system with marked targets is researched and developed. The system is a 3D visual system based on a basic principle of close-range photogrammetry. After shooting objects with mark targets by a digital camera, the digital image processing and vision measurement processing are used to detect and match the marked targets in order to locate the geometry precisely. The system achieved the main function of image preprocessing, target center location, feature matching, camera calibration, 3D reconstruction and precision evaluation. Proved by the experiment, the system can reduce the dependence on hardware equipment, measurement environment and professional technology, and obtain stable and precise 3D reconstruction results, which can be applied to the calculation of monitoring point.
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Soler, M. E., W. Kornus, A. Magariños, and M. Pla. "ANALYZING RCD30 OBLIQUE PERFORMANCE IN A PRODUCTION ENVIRONMENT." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 9, 2016): 99–105. http://dx.doi.org/10.5194/isprs-archives-xli-b3-99-2016.
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In 2014 the Institut Cartogràfic i Geològic de Catalunya (ICGC) decided to incorporate digital oblique imagery in its portfolio in response to the growing demand for this product. The reason can be attributed to its useful applications in a wide variety of fields and, most recently, to an increasing interest in 3d modeling. The selection phase for a digital oblique camera led to the purchase of the Leica RCD30 Oblique system, an 80MPixel multispectral medium-format camera which consists of one Nadir camera and four oblique viewing cameras acquiring images at an off-Nadir angle of 35º. The system also has a multi-directional motion compensation on-board system to deliver the highest image quality. <br><br> The emergence of airborne oblique cameras has run in parallel to the inclusion of computer vision algorithms into the traditional photogrammetric workflows. Such algorithms rely on having multiple views of the same area of interest and take advantage of the image redundancy for automatic feature extraction. The multiview capability is highly fostered by the use of oblique systems which capture simultaneously different points of view for each camera shot. Different companies and NMAs have started pilot projects to assess the capabilities of the 3D mesh that can be obtained using correlation techniques. Beyond a software prototyping phase, and taking into account the currently immature state of several components of the oblique imagery workflow, the ICGC has focused on deploying a real production environment with special interest on matching the performance and quality of the existing production lines based on classical Nadir images. <br><br> This paper introduces different test scenarios and layouts to analyze the impact of different variables on the geometric and radiometric performance. Different variables such as flight altitude, side and forward overlap and ground control point measurements and location have been considered for the evaluation of aerial triangulation and stereo plotting. Furthermore, two different flight configurations have been designed to measure the quality of the absolute radiometric calibration and the resolving power of the system. <br><br> To quantify the effective resolution power of RCD30 Oblique images, a tool based on the computation of the Line Spread Function has been developed. The tool processes a region of interest that contains a single contour in order to extract a numerical measure of edge smoothness for a same flight session. The ICGC is highly devoted to derive information from satellite and airborne multispectral remote sensing imagery. A seamless Normalized Difference Vegetation Index (NDVI) retrieved from Digital Metric Camera (DMC) reflectance imagery is one of the products of ICGC’s portfolio. As an evolution of this well-defined product, this paper presents an evaluation of the absolute radiometric calibration of the RCD30 Oblique sensor. To assess the quality of the measure, the ICGC has developed a procedure based on simultaneous acquisition of RCD30 Oblique imagery and radiometric calibrated AISA (Airborne Hyperspectral Imaging System) imagery.
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Tonelli, Alessandro, Veronica Mangia, Alessandro Candiani, Francesco Pasquali, Tiziana Jessica Mangiaracina, Alessandro Grazioli, Michele Sozzi, et al. "Sensing Optimum in the Raw: Leveraging the Raw-Data Imaging Capabilities of Raspberry Pi for Diagnostics Applications." Sensors 21, no. 10 (May 20, 2021): 3552. http://dx.doi.org/10.3390/s21103552.
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Single-board computers (SBCs) and microcontroller boards (MCBs) are extensively used nowadays as prototyping platforms to accomplish innovative tasks. Very recently, implementations of these devices for diagnostics applications are rapidly gaining ground for research and educational purposes. Among the available solutions, Raspberry Pi represents one of the most used SBCs. In the present work, two setups based on Raspberry Pi and its CMOS-based camera (a 3D-printed device and an adaptation of a commercial product named We-Lab) were investigated as diagnostic instruments. Different camera elaboration processes were investigated, showing how direct access to the 10-bit raw data acquired from the sensor before downstream imaging processes could be beneficial for photometric applications. The developed solution was successfully applied to the evaluation of the oxidative stress using two commercial kits (d-ROM Fast; PAT). We suggest the analysis of raw data applied to SBC and MCB platforms in order to improve results.
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Junaid, Ahmad, Muftooh Ur Rehman Siddiqi, Sundas Tariq, Riaz Muhammad, Ubaidullah Paracha, Nasim Ullah, Ahmad Aziz Al Ahmadi, Muhammad Suleman, and Tufail Habib. "Metrology Process to Produce High-Value Components and Reduce Waste for the Fourth Industrial Revolution." Sustainability 14, no. 12 (June 19, 2022): 7472. http://dx.doi.org/10.3390/su14127472.
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Conventionally, a manufactured product undergoes a quality control process. The quality control department mostly ensures that the dimensions of the manufactured products are within the desired range, i.e., the product either satisfies the defined conformity range or is rejected. Failing to satisfy the conformity range increases the manufacturing cost and harms the production rate and the environment. Conventional quality control departments take samples from the given batch after the manufacturing process. This, in turn, has two consequences, i.e., low-quality components being delivered to the customer and input energy being wasted in the rejected components. The aim of this paper is to create a high-precision measuring (metrology)-based system that measures the dimension of an object in real time during the machining process. This is accomplished by integrating a vision-based system with image processing techniques in the manufacturing process. Experiments were planned using an experimental design which included different lightning conditions, camera locations, and revolutions per minute (rpm) values. Using the proposed technique, submillimeter dimensional accuracy was achieved at all the measured points of the component in real time. Manual validation and statistical analysis were performed to check the validity of the system.
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Kostal, Peter, Vanessa Prajova, Stefan Vaclav, and Sergiu-Dan Stan. "An Overview of the Practical Use of the CCTV System in a Simple Assembly in a Flexible Manufacturing System." Applied System Innovation 5, no. 3 (May 31, 2022): 52. http://dx.doi.org/10.3390/asi5030052.
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In this article, experiments are realized in the flexible manufacturing system ICIM 3000 (FESTO, Germany), and its assembly system, located at the Institute of production technologies, Faculty of Material Sciences and Technologies, Slovak University of Technology. The assembly system is the final product assembled, and this process consists of five components. Unwanted inaccuracies in the assembly process of the elements, such as the insertion of thermometers and hygrometers into the base plate, usually arise. Based on these inaccuracies, we realize some experiments by the camera system SBOC-Q-R3-WB. This deals with the method of image processing. The camera system parameters are set-up. At the end of this contribution, a base of evaluated results is suggested and some minor design changes are realized in the assembly station. The goal of these changes is the higher reliability of the assembly process.
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Peng, Zan Bin. "Application of Digital Image Processing Technology in the Process of Ceramic Art Image." Applied Mechanics and Materials 687-691 (November 2014): 3738–42. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.3738.
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With the improvement of computer hardware and software performance, digital multimedia technology has been applied to various fields. The visual effect of ceramic art image is affected mainly by the brightness, texture and color, in which the image defects will affect the visual effect of the ceramic product. This paper designs the digital processing system of a new ceramic art image processing, the system can repair defects in ceramic art image. In order to verify the validity and reliability of digital processing system, the lead-free perovskite structure BZT based ceramics is prepared in this paper, and the use of electron microscope and digital camera take the ceramic products processing image with artistic defects, and then using VB programming digital image processing technology carries out color re coating for the ceramic, the ceramic products electron microscopy images after restoration will be obtained by the image boundary restructuring, which provides a new computer method for the processing art of the ceramic products.
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Sheu, Ruey-Kai, Lun-Chi Chen, Mayuresh Sunil Pardeshi, Kai-Chih Pai, and Chia-Yu Chen. "AI Landing for Sheet Metal-Based Drawer Box Defect Detection Using Deep Learning (ALDB-DL)." Processes 9, no. 5 (April 27, 2021): 768. http://dx.doi.org/10.3390/pr9050768.
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Sheet metal-based products serve as a major portion of the furniture market and maintain higher quality standards by being competitive. During industrial processes, while converting a sheet metal to an end product, new defects are observed and thus need to be identified carefully. Recent studies have shown scratches, bumps, and pollution/dust are identified, but orange peel defects present overall a new challenge. So our model identifies scratches, bumps, and dust by using computer vision algorithms, whereas orange peel defect detection with deep learning have a better performance. The goal of this paper was to resolve artificial intelligence (AI) as an AI landing challenge faced in identifying various kinds of sheet metal-based product defects by ALDB-DL process automation. Therefore, our system model consists of multiple cameras from two different angles to capture the defects of the sheet metal-based drawer box. The aim of this paper was to solve multiple defects detection as design and implementation of Industrial process integration with AI by Automated Optical Inspection (AOI) for sheet metal-based drawer box defect detection, stated as AI Landing for sheet metal-based Drawer Box defect detection using Deep Learning (ALDB-DL). Therefore, the scope was given as achieving higher accuracy using multi-camera-based image feature extraction using computer vision and deep learning algorithm for defect classification in AOI. We used SHapley Additive exPlanations (SHAP) values for pre-processing, LeNet with a (1 × 1) convolution filter, and a Global Average Pooling (GAP) Convolutional Neural Network (CNN) algorithm to achieve the best results. It has applications for sheet metal-based product industries with improvised quality control for edge and surface detection. The results were competitive as the precision, recall, and area under the curve were 1.00, 0.99, and 0.98, respectively. Successively, the discussion section presents a detailed insight view about the industrial functioning with ALDB-DL experience sharing.
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Dywa, Arief Kurniawan Yoga, and RB Hendri Kuswantoro. "Perancangan Game “IM HERE” Berbasis Augmented Reality dan Location Based Sebagai Media Promosi." Journal of Animation and Games Studies 6, no. 2 (October 15, 2020): 97–112. http://dx.doi.org/10.24821/jags.v6i2.3927.
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On a business there must be advertise for a product, services, and also for entertainment. Advertisement activities has been changed from door to door advertisement to technological advertisement. Technology that used for advertisement are televisions, web and social media. One of the new technology and media that use for advertisement are games. Games as advertisement tool use ads via monetizing and promote services. Some company use augmented reality and location based technology which new technology as advertisement enhancement to attract costumer. Augmented reality is technology that combine real world object and game object, and location based is technology that determine user location in the point of world as coordinate or place descriptions. Augmented reality and location based can be implemented using Unity3D algorithm through accessing user camera and gps. Location based can be implemented as marker for some feature to active if company that want advertise their product or place, user must get profit from activating the feature. Using augmented reality and location base as gameplay may give new experience for user and attract new user or customer.
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Žiljak Gršić, Jana, Denis Jurečić, Lidija Tepeš Golubić, and Silvio Plehati. "Security Graphics with Multilayered Elements in the Near-Infrared and Visible Spectrum." Information 13, no. 2 (January 20, 2022): 47. http://dx.doi.org/10.3390/info13020047.
Full textAbstract:
In this paper, the fusion of four graphics into one integrated graphic is selectively observed in the visible and infrared spectrum. Each graphic represents its own information derived from the following sources: vector graphics, drawing, photograph and textual information. One graphic will be visible to the naked eye after the print. The other graphics will be observed with an NIR surveillance camera. These other graphics are nested into the selected visible graphics. All the graphics together make up a security print product with the characteristics of an individual solution with multilayered elements. Reprinting is possible only for the person in possession of the solution created according to the algorithm based on the INFRAREDESIGN® method. When these graphics are printed on paper, it is impossible to produce an identical graphic prepress (C, M, Y, K) to produce forgery with the same dual properties in the visible and NIR spectrum.
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Tao, Yu, Jan-Peter Muller, Susan J. Conway, and Siting Xiong. "Large Area High-Resolution 3D Mapping of Oxia Planum: The Landing Site for the ExoMars Rosalind Franklin Rover." Remote Sensing 13, no. 16 (August 18, 2021): 3270. http://dx.doi.org/10.3390/rs13163270.
Full textAbstract:
We demonstrate an end-to-end application of the in-house deep learning-based surface modelling system, called MADNet, to produce three large area 3D mapping products from single images taken from the ESA Mars Express’s High Resolution Stereo Camera (HRSC), the NASA Mars Reconnaissance Orbiter’s Context Camera (CTX), and the High Resolution Imaging Science Experiment (HiRISE) imaging data over the ExoMars 2022 Rosalind Franklin rover’s landing site at Oxia Planum on Mars. MADNet takes a single orbital optical image as input, provides pixelwise height predictions, and uses a separate coarse Digital Terrain Model (DTM) as reference, to produce a DTM product from the given input image. Initially, we demonstrate the resultant 25 m/pixel HRSC DTM mosaic covering an area of 197 km × 182 km, providing fine-scale details to the 50 m/pixel HRSC MC-11 level-5 DTM mosaic. Secondly, we demonstrate the resultant 12 m/pixel CTX MADNet DTM mosaic covering a 114 km × 117 km area, showing much more detail in comparison to photogrammetric DTMs produced using the open source in-house developed CASP-GO system. Finally, we demonstrate the resultant 50 cm/pixel HiRISE MADNet DTM mosaic, produced for the first time, covering a 74.3 km × 86.3 km area of the 3-sigma landing ellipse and partially the ExoMars team’s geological characterisation area. The resultant MADNet HiRISE DTM mosaic shows fine-scale details superior to existing Planetary Data System (PDS) HiRISE DTMs and covers a larger area that is considered difficult for existing photogrammetry and photoclinometry pipelines to achieve, especially given the current limitations of stereo HiRISE coverage. All of the resultant DTM mosaics are co-aligned with each other, and ultimately with the Mars Global Surveyor’s Mars Orbiter Laser Altimeter (MOLA) DTM, providing high spatial and vertical congruence. In this paper, technical details are presented, issues that arose are discussed, along with a visual evaluation and quantitative assessments of the resultant DTM mosaic products.
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Wueller, Dietmar. "A new dimension in geometric camera calibration." Electronic Imaging 2020, no. 9 (January 26, 2020): 18–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.9.iqsp-018.
Full textAbstract:
There are many test charts and software to determine the intrinsic geometric calibration of a camera including distortion. But all of these setups have a few problems in common. They are limited to finite object distances and require large test charts for calibrations at greater distances combined with powerful and uniform illumination. On production lines the workaround for this problem is often times the use of a relay lens which itself introduces geometric distortions and therefore inaccuracies that need to be compensated for. A solution to overcome these problems and limitations has originally been developed for space applications and has already become a common method for the calibration of satellite cameras. We have now turned the lab setup on an optical bench into a commercially available product that can be used for the calibration of a huge variety of cameras for different applications. This solution is based on a diffractive optical element (DOE) that gets illuminated by a plane wave generated with an expanded laser diode beam. In addition to the conventional methods the proposed one also provides the extrinsic orientation of the camera and therefore allows the adjustment of cameras to each other.