Bibliografías temáticas / Camera recognition

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Literatura académica sobre el tema "Camera recognition"

Autor: Grafiati
Publicado: 25 de mayo de 2024
Última modificación: 31 de julio de 2025

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Artículos de revistas sobre el tema "Camera recognition"

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Zhao, Ruiyi, Yangshi Ge, Ye Duan, and Quanhong Jiang. "Large-field Gesture Tracking and Recognition for Augmented Reality Interaction." Journal of Physics: Conference Series 2560, no. 1 (2023): 012016. http://dx.doi.org/10.1088/1742-6596/2560/1/012016.

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Abstract In recent years, with the continuous development of computer vision and artificial intelligence technology, gesture recognition is widely used in many fields, such as virtual reality, augmented reality and so on. However, the traditional binocular camera architecture is limited by its limited field of view Angle and depth perception range. Fisheye camera is gradually applied in gesture recognition field because of its advantage of larger field of view Angle. Fisheye cameras offer a wider field of vision than previous binocular cameras, allowing for a greater range of gesture recogniti
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WANG, Chenyu, Yukinori KOBAYASHI, Takanori EMARU, and Ankit RAVANKAR. "1A1-H04 Recognition of 3-D Grid Structure Recognition with Fixed Camera and RGB-D Camera." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2015 (2015): _1A1—H04_1—_1A1—H04_4. http://dx.doi.org/10.1299/jsmermd.2015._1a1-h04_1.

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Reddy, K. Manideep. "Face Recognition for Criminal Detection." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (2022): 2856–60. http://dx.doi.org/10.22214/ijraset.2022.44528.

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Abstract: In these days, assessment camera structure wins as a security system at high speed since this structure can screen from remote spots using Web camera joined to video screen by network. Besides, computerized supplies like Web camera, and hard circle drive are proficiently fabricated, and are sold for minimal price. Likewise, execution gain of these mechanized sorts of stuff improves at a fast rate. Current perception camera structure shows dynamic pictures from some oversight areas shot by various Web cameras all the while. Then, this system makes spectator's mind and body tired consi
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Guo, Yunsong. "Autonomous Vehicle Navigation Based on Vision and Mapless Strategies." Highlights in Science, Engineering and Technology 106 (July 16, 2024): 68–72. http://dx.doi.org/10.54097/g4r19w17.

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Vision camera recognition system has many roles as face recognition can be used in the criminal system, object recognition can quickly classify items, and behavioral recognition can be placed in the intelligent cockpit to identify and analyze the driver's behavior and make the correct judgment and decision-making. Vision cameras can also be used in automatic automobile driving because the camera will not be distracted and can be installed with multiple cameras to observe simultaneously, so the camera can constantly observe the surrounding situation, which is incomparable to human vision. Maple
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Yuan, Mingxin, Jie Li, Borui Cao, Shihao Bao, Li Sun, and Xiangbin Li. "Research on Target Hybrid Recognition and Localization Methods Based on an Industrial Camera and a Depth Camera in Complex Scenes." Electronics 13, no. 22 (2024): 4381. http://dx.doi.org/10.3390/electronics13224381.

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In order to improve the target visual recognition and localization accuracy of robotic arms in complex scenes with similar targets, hybrid recognition and localization methods based on an industrial camera and depth camera are proposed. First, according to the speed and accuracy requirements of target recognition and localization, YOLOv5s is introduced as the basic algorithm model for target hybrid recognition and localization. Then, in order to improve the accuracy of target recognition and coarse localization based on an industrial camera (eye-to-hand), the AFPN feature fusion module, simple
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Chen, Zhuo, Hai Bo Wu, and Sheng Ping Xia. "A Cooperative Dual-Camera System for Face Recognition and Video Monitoring." Advanced Materials Research 998-999 (July 2014): 784–88. http://dx.doi.org/10.4028/www.scientific.net/amr.998-999.784.

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In the ordinary video monitoring system, the whole small scene is usually observed by a stationary camera or a few stationary cameras, but the system can’t zoom and focus on the target of interest rapidly, and also can’t get the high resolution image of the target of interest in a far distance. Therefore based on the research of the dual-camera cooperation and a RSOM clustering tree and CSHG algorithm, a cooperative dual-camera system is designed to track and recognize a face quickly in a large-scale and far-distance scene in this paper, which is made up of a Stationary Wide Field of View (SWF
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Tseng, Hung Li, Chao Nan Hung, Sun Yen Tan, Chiu Ching Tuan, Chi Ping Lee, and Wen Tzeng Huang. "Single Camera for Multiple Vehicles License Plate Localization and Recognition on Multilane Highway." Applied Mechanics and Materials 418 (September 2013): 120–23. http://dx.doi.org/10.4028/www.scientific.net/amm.418.120.

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License plate recognition systems can be classified into several categories: systems with single camera for motionless vehicle, systems with single camera for moving vehicle, and systems with multiple cameras for moving vehicles on highways (one camera for each lane). In this paper we present an innovative system which can locate multiple moving vehicles and recognize their license plates with only one single camera. Obviously, our system is highly cost effective in comparison with other systems. Our system has license plate localization success rate 94% and license plate recognition success r
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Francisca O Nwokoma, Juliet N Odii, Ikechukwu I Ayogu, and James C Ogbonna. "Camera-based OCR scene text detection issues: A review." World Journal of Advanced Research and Reviews 12, no. 3 (2021): 484–89. http://dx.doi.org/10.30574/wjarr.2021.12.3.0705.

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Camera-based scene text detection and recognition is a research area that has attracted countless attention and had made noticeable progress in the area of deep learning technology, computer vision, and pattern recognition. They are highly recommended for capturing text on-scene images (signboards), documents with a multipart and complex background, images on thick books and documents that are highly fragile. This technology encourages real-time processing since handheld cameras are built with very high processing speed and internal memory, are quite easy and flexible to use than the tradition
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Francisca, O. Nwokoma, N. Odii Juliet, I. Ayogu Ikechukwu, and C. Ogbonna James. "Camera-based OCR scene text detection issues: A review." World Journal of Advanced Research and Reviews 12, no. 3 (2021): 484–89. https://doi.org/10.5281/zenodo.5813901.

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Camera-based scene text detection and recognition is a research area that has attracted countless attention and had made noticeable progress in the area of deep learning technology, computer vision, and pattern recognition. They are highly recommended for capturing text on-scene images (signboards), documents with a multipart and complex background, images on thick books and documents that are highly fragile. This technology encourages real-time processing since handheld cameras are built with very high processing speed and internal memory, are quite easy and flexible to use than the tradition
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Fan, Zhijie, Zhiwei Cao, Xin Li, Chunmei Wang, Bo Jin, and Qianjin Tang. "Video Surveillance Camera Identity Recognition Method Fused With Multi-Dimensional Static and Dynamic Identification Features." International Journal of Information Security and Privacy 17, no. 1 (2023): 1–18. http://dx.doi.org/10.4018/ijisp.319304.

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With the development of smart cities, video surveillance networks have become an important infrastructure for urban governance. However, by replacing or tampering with surveillance cameras, an important front-end device, attackers are able to access the internal network. In order to identify illegal or suspicious camera identities in advance, a camera identity identification method that incorporates multidimensional identification features is proposed. By extracting the static information of cameras and dynamic traffic information, a camera identity system that incorporates explicit, implicit,
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Tesis sobre el tema "Camera recognition"

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Johansson, Fredrik. "Recognition of Targets in Camera Networks." Thesis, Linköpings universitet, Institutionen för teknik och naturvetenskap, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-95351.

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This thesis presents a re-recognition model for use in area camera network surveillance systems. The method relies on a mix of covariance matrix fea- ture descriptions and Bayesian networks for topological information. The system consists of an object recognition model and an re-recognition model. The object recognition model is responsible for separating people from the background and generating the position and description for each person and frame. This is done by using a foreground-background segmen- tation model to separate the background from a person. The segmented image is then tracked
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Tadesse, Girmaw Abebe. "Human activity recognition using a wearable camera." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/668914.

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Advances in wearable technologies are facilitating the understanding of human activities using first-person vision (FPV) for a wide range of assistive applications. In this thesis, we propose robust multiple motion features for human activity recognition from first­ person videos. The proposed features encode discriminant characteristics form magnitude, direction and dynamics of motion estimated using optical flow. M:>reover, we design novel virtual-inertial features from video, without using the actual inertial sensor, from the movement of intensity centroid across frames. Results on multiple
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Erhard, Matthew John. "Visual intent recognition in a multiple camera environment /." Online version of thesis, 2006. http://hdl.handle.net/1850/3365.

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Soh, Ling Min. "Recognition using tagged objects." Thesis, University of Surrey, 2000. http://epubs.surrey.ac.uk/844110/.

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This thesis describes a method for the recognition of objects in an unconstrained environment with a widely ranging illumination, imaged from unknown view points and complicated background. The general problem is simplified by placing specially designed patterns on the object that allows us to solve the pose determination problem easily. There are several key components involved in the proposed recognition approach. They include pattern detection, pose estimation, model acquisition and matching, searching and indexing the model database. Other crucial issues pertaining to the individual compon
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Mudduluru, Sravani. "Indian Sign Language Numbers Recognition using Intel RealSense Camera." DigitalCommons@CalPoly, 2017. https://digitalcommons.calpoly.edu/theses/1815.

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The use of gesture based interaction with devices has been a significant area of research in the field of computer science since many years. The main idea of these kind of interactions is to ease the user experience by providing high degree of freedom and provide more interactive way of communication with the technology in a natural way. The significant areas of applications of gesture recognition are in video gaming, human computer interaction, virtual reality, smart home appliances, medical systems, robotics and several others. With the availability of the devices such as Kinect, Leap Motion
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Bellando, John Louis. "Modeling and Recognition of Gestures Using a Single Camera." University of Cincinnati / OhioLINK, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=ucin973088031.

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Brauer, Henrik Siebo Peter. "Camera based human localization and recognition in smart environments." Thesis, University of the West of Scotland, 2014. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.739946.

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Hannuksela, J. (Jari). "Camera based motion estimation and recognition for human-computer interaction." Doctoral thesis, University of Oulu, 2008. http://urn.fi/urn:isbn:9789514289781.

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Abstract Communicating with mobile devices has become an unavoidable part of our daily life. Unfortunately, the current user interface designs are mostly taken directly from desktop computers. This has resulted in devices that are sometimes hard to use. Since more processing power and new sensing technologies are already available, there is a possibility to develop systems to communicate through different modalities. This thesis proposes some novel computer vision approaches, including head tracking, object motion analysis and device ego-motion estimation, to allow efficient interaction with m
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Akman, Oytun. "Multi-camera Video Surveillance: Detection, Occlusion Handling, Tracking And Event Recognition." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608620/index.pdf.

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In this thesis, novel methods for background modeling, tracking, occlusion handling and event recognition via multi-camera configurations are presented. As the initial step, building blocks of typical single camera surveillance systems that are moving object detection, tracking and event recognition, are discussed and various widely accepted methods for these building blocks are tested to asses on their performance. Next, for the multi-camera surveillance systems, background modeling, occlusion handling, tracking and event recognition for two-camera configurations are examined. Various foregro
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Kurihata, Hiroyuki, Tomokazu Takahashi, Ichiro Ide, et al. "Rainy weather recognition from in-vehicle camera images for driver assistance." IEEE, 2005. http://hdl.handle.net/2237/6798.

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Libros sobre el tema "Camera recognition"

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Iwamura, Masakazu, and Faisal Shafait, eds. Camera-Based Document Analysis and Recognition. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29364-1.

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Iwamura, Masakazu, and Faisal Shafait, eds. Camera-Based Document Analysis and Recognition. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05167-3.

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Javed, Omar. Automated Multi-Camera Surveillance: Algorithms and Practice. Springer Science+Business Media, LLC, 2008.

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Faisal, Shafait, and SpringerLink (Online service), eds. Camera-Based Document Analysis and Recognition: 4th International Workshop, CBDAR 2011, Beijing, China, September 22, 2011, Revised Selected Papers. Springer Berlin Heidelberg, 2012.

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Wang, Jiang, Zicheng Liu, and Ying Wu. Human Action Recognition with Depth Cameras. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04561-0.

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United States. National Aeronautics and Space Administration., ed. A model-based approach for detection of runways and other objects in image sequences acquired using an on-board camera: Final technical report for NASA grant NAG-1-1371, "analysis of image sequences from sensors for restricted visibility operations", period of the grant January 24, 1992 to May 31, 1994. National Aeronautics and Space Administration, 1994.

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United States. National Aeronautics and Space Administration., ed. A model-based approach for detection of runways and other objects in image sequences acquired using an on-board camera: Final technical report for NASA grant NAG-1-1371, "analysis of image sequences from sensors for restricted visibility operations", period of the grant January 24, 1992 to May 31, 1994. National Aeronautics and Space Administration, 1994.

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United States. National Aeronautics and Space Administration., ed. A model-based approach for detection of runways and other objects in image sequences acquired using an on-board camera: Final technical report for NASA grant NAG-1-1371, "analysis of image sequences from sensors for restricted visibility operations", period of the grant January 24, 1992 to May 31, 1994. National Aeronautics and Space Administration, 1994.

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Hooper, John R. The illustrated Camaro recognition guide. J & D Publications, 1992.

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Remondino, Fabio. TOF Range-Imaging Cameras. Springer Berlin Heidelberg, 2013.

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Capítulos de libros sobre el tema "Camera recognition"

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Zhang, Shu, Guangqi Hou, and Zhenan Sun. "Eyelash Removal Using Light Field Camera for Iris Recognition." In Biometric Recognition. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12484-1_36.

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Xompero, Alessio, and Andrea Cavallaro. "Cross-Camera View-Overlap Recognition." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-25075-0_19.

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Fischer, Stephan, Ivica Rimac, and Ralf Steinmetz. "Automatic Recognition of Camera Zooms." In Visual Information and Information Systems. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48762-x_32.

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Srivastava, Gaurav, Johnny Park, Avinash C. Kak, Birgi Tamersoy, and J. K. Aggarwal. "Multi-camera Human Action Recognition." In Computer Vision. Springer US, 2014. http://dx.doi.org/10.1007/978-0-387-31439-6_776.

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Xie, Xiaohua, Yan Gao, Wei-Shi Zheng, Jianhuang Lai, and Junyong Zhu. "One-Snapshot Face Anti-spoofing Using a Light Field Camera." In Biometric Recognition. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-69923-3_12.

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Liu, Yanqiong, Gang Shi, Qing Cui, Yuhong Sheng, and Guoqun Liu. "A Method of Personnel Location Based on Monocular Camera in Complex Terrain." In Biometric Recognition. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97909-0_19.

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Guo, Wenxuan, Yingping Liang, Zhiyu Pan, Ziheng Xi, Jianjiang Feng, and Jie Zhou. "Camera-LiDAR Cross-Modality Gait Recognition." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-72754-2_25.

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Kasar, Thotreingam, and Angarai G. Ramakrishnan. "Multi-script and Multi-oriented Text Localization from Scene Images." In Camera-Based Document Analysis and Recognition. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29364-1_1.

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Bukhari, Syed Saqib, Faisal Shafait, and Thomas M. Breuel. "Border Noise Removal of Camera-Captured Document Images Using Page Frame Detection." In Camera-Based Document Analysis and Recognition. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29364-1_10.

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Bukhari, Syed Saqib, Faisal Shafait, and Thomas M. Breuel. "An Image Based Performance Evaluation Method for Page Dewarping Algorithms Using SIFT Features." In Camera-Based Document Analysis and Recognition. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29364-1_11.

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Actas de conferencias sobre el tema "Camera recognition"

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Pradeep Kumar, B. P., S.Subburam, Fathima S. K, Sivasankari SS, G. Saritha, and J.Surendiran. "Gesture Recognition using IR sensor camera." In 2024 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS). IEEE, 2024. https://doi.org/10.1109/icpects62210.2024.10780010.

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Yang, Dongzhao, Dong An, Qiang Wang, Zhongqi Pan, and Yang Yue. "Scene Plane Recognition via Depth-Infrared Intensity Fusion Using ToF Camera." In CLEO: Applications and Technology. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_at.2024.jtu2a.104.

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A scene plane information recognition method is demonstrated based on data fusion using a single ToF camera. This approach effectively tackles general LiDAR’s deficiencies in identifying planar content, achieving an impressive recognition accuracy of 98.3%.
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Rajaraman, Srinivasan, Danielle M. Caruccio, Nicholas C. Fung, and Cory J. Hayes. "Fully automatic, unified stereo camera and LiDAR-camera calibration." In Automatic Target Recognition XXXI, edited by Timothy L. Overman, Riad I. Hammoud, and Abhijit Mahalanobis. SPIE, 2021. http://dx.doi.org/10.1117/12.2587806.

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Wu, Haoyu, Shaomin Xiong, and Toshiki Hirano. "A Real-Time Human Recognition and Tracking System With a Dual-Camera Setup." In ASME 2019 28th Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/isps2019-7469.

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Abstract Most surveillance camera systems are still controlled and monitored by humans. Smart surveillance camera systems are proposed to automatically understand the scene captured, identify the objects of interest, detect the abnormality, etc. However, most surveillance cameras are either wide-angle or pan-tilt-zoom (PTZ). When the cameras are in the wide-view mode, small objects can be hard to be recognized. On the other hand, when the cameras are zoomed-in to the object of interest, the global view cannot be covered and important events outside the zoomed view will be missed. In this paper
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Perez-Yus, A., G. Lopez-Nicolas, and J. J. Guerrero. "A novel hybrid camera system with depth and fisheye cameras." In 2016 23rd International Conference on Pattern Recognition (ICPR). IEEE, 2016. http://dx.doi.org/10.1109/icpr.2016.7900058.

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Sumida, Hiroaki, Fuji Ren, Shun Nishide, and Xin Kang. "Environment Recognition Using Robot Camera." In 2020 5th IEEE International Conference on Big Data Analytics (ICBDA). IEEE, 2020. http://dx.doi.org/10.1109/icbda49040.2020.9101205.

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Castells-Rufas, David, and Jordi Carrabina. "Camera-based Digit Recognition System." In 2006 13th IEEE International Conference on Electronics, Circuits and Systems. IEEE, 2006. http://dx.doi.org/10.1109/icecs.2006.379899.

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Kessler, Viktor, Patrick Thiam, Mohammadreza Amirian, and Friedhelm Schwenker. "Pain recognition with camera photoplethysmography." In 2017 Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2017. http://dx.doi.org/10.1109/ipta.2017.8310110.

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Hiew, B. Y., Andrew B. J. Teoh, and Y. H. Pang. "Digital camera based fingerprint recognition." In 2007 IEEE International Conference on Telecommunications and Malaysia International Conference on Communications. IEEE, 2007. http://dx.doi.org/10.1109/ictmicc.2007.4448572.

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Shahreza, Hatef Otroshi, Alexandre Veuthey, and Sébastien Marcel. "Face Recognition Using Lensless Camera." In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2024. http://dx.doi.org/10.1109/icassp48485.2024.10446710.

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Informes sobre el tema "Camera recognition"

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Steves, Michelle, Brian Stanton, Mary Theofanos, Dana Chisnell, and Hannah Wald. Camera Recognition. National Institute of Standards and Technology, 2013. http://dx.doi.org/10.6028/nist.ir.7921.

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Shapovalov, Viktor B., Yevhenii B. Shapovalov, Zhanna I. Bilyk, Anna P. Megalinska, and Ivan O. Muzyka. The Google Lens analyzing quality: an analysis of the possibility to use in the educational process. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3754.

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Biology is a fairly complicated initial subject because it involves knowledge of biodiversity. Google Lens is a unique, mobile software that allows you to recognition species and genus of the plant student looking for. The article devoted to the analysis of the efficiency of the functioning of the Google Lens related to botanical objects. In order to perform the analysis, botanical objects were classified by type of the plant (grass, tree, bush) and by part of the plant (stem, flower, fruit) which is represented on the analyzed photo. It was shown that Google Lens correctly identified plant sp
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Tao, Yang, Amos Mizrach, Victor Alchanatis, Nachshon Shamir, and Tom Porter. Automated imaging broiler chicksexing for gender-specific and efficient production. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7594391.bard.

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Extending the previous two years of research results (Mizarch, et al, 2012, Tao, 2011, 2012), the third year’s efforts in both Maryland and Israel were directed towards the engineering of the system. The activities included the robust chick handling and its conveyor system development, optical system improvement, online dynamic motion imaging of chicks, multi-image sequence optimal feather extraction and detection, and pattern recognition. Mechanical System Engineering The third model of the mechanical chick handling system with high-speed imaging system was built as shown in Fig. 1. This syst
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Yan, Yujie, and Jerome F. Hajjar. Automated Damage Assessment and Structural Modeling of Bridges with Visual Sensing Technology. Northeastern University, 2021. http://dx.doi.org/10.17760/d20410114.

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Recent advances in visual sensing technology have gained much attention in the field of bridge inspection and management. Coupled with advanced robotic systems, state-of-the-art visual sensors can be used to obtain accurate documentation of bridges without the need for any special equipment or traffic closure. The captured visual sensor data can be post-processed to gather meaningful information for the bridge structures and hence to support bridge inspection and management. However, state-of-the-practice data postprocessing approaches require substantial manual operations, which can be time-c
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Hall, Mark, and Neil Price. Medieval Scotland: A Future for its Past. Society of Antiquaries of Scotland, 2012. http://dx.doi.org/10.9750/scarf.09.2012.165.

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The main recommendations of the panel report can be summarised under five key headings. Underpinning all five areas is the recognition that human narratives remain crucial for ensuring the widest access to our shared past. There is no wish to see political and economic narratives abandoned but the need is recognised for there to be an expansion to more social narratives to fully explore the potential of the diverse evidence base. The questions that can be asked are here framed in a national context but they need to be supported and improved a) by the development of regional research frameworks
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Dalglish, Chris, and Sarah Tarlow, eds. Modern Scotland: Archaeology, the Modern past and the Modern present. Society of Antiquaries of Scotland, 2012. http://dx.doi.org/10.9750/scarf.09.2012.163.

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The main recommendations of the panel report can be summarised under five key headings:  HUMANITY The Panel recommends recognition that research in this field should be geared towards the development of critical understandings of self and society in the modern world. Archaeological research into the modern past should be ambitious in seeking to contribute to understanding of the major social, economic and environmental developments through which the modern world came into being. Modern-world archaeology can add significantly to knowledge of Scotland’s historical relationships with the rest of
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Veung, Naron, and Seyhah Ven. Exploring Insights into Vocational Skills Development and Industrial Transformation in Cambodia. Cambodia Development Resource Institute, 2021. https://doi.org/10.64202/wp.131.202110.

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Industrial development is central to Cambodia’s economic development as it plans to upgrade the country’s status to an upper-middle-income country by 2030 and to a high-income country by 2050. Equipping the workforce with the skills and competencies that match industrial needs requires a great deal of continuous efforts and resources. In this regard, this paper aims to look into the linkage between skills and transformation based on employers’ perspectives. It explores insights into how companies perceive and use the skills and qualifications of their employees to overcome changes in technolog
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