Tesis sobre el tema "Camera monitoring"
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Lundgren, Elida. "Evaluating camera monitoring of breeding seabirds". Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-412458.
Texto completoStudien gjordes i samarbete med Baltic Seabird Project med syftet att undersöka möjligheten att använda kameror för att övervaka häckningsframgång hos Sillgrissla på Stora Karlsö. Häckningsframgång definieras som tiden från att ägget läggs, kläcks, och ungen överlever i 15 dagar då den anses vara redo att lämna boet. Övervakning med kameror innebär att häckningsytan där fåglarna sitter fotograferas med ett bestämt tidsintervall för att försöka fånga avkomman på bild och därmed se att den har överlevt. Undersökningen har genomförts på Stora Karlsö genom att installera kameror i den konstgjorda häckningshyllan Auk Lab och bedöma hur väl metoden fungerar. Huruvida avkomman fångas på bild eller inte var den huvudsakliga frågeställningen, med en sekundär frågeställning som rör skillnaden mellan den traditionella insamlingsmetoden som genomförs genom att en person dagligen kontrollerar fåglarna. Resultaten visar att kameraövervakning kan vara en användbar metod, då det går att fånga avkomman på bild men avstånd och vinkel är några av de avgörande faktorerna för att framgångsrikt kunna observera avkomman. Strömtillförsel och minneskortets storlek är avgörande faktorer för att göra vinningar tidsmässigt jämfört med den traditionella metoden. Fortsatt utveckling av rutinerna för kameraövervakning är nödvändigt för att få en pålitlig datainsamling. 2
Karim, Kh Nafis. "INTELLIGENT SYSTEM FOR MONITORING PHYSIOLOGICAL PARAMETERS USING CAMERA". Thesis, Mälardalens högskola, Inbyggda system, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-29834.
Texto completoDaly, Jonathan. "Video camera monitoring to detect changes in haemodynamics". Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:e84f2acf-f35c-4257-a4c3-209c5da9cbee.
Texto completoGang, Siqi. "Driver-Monitoring-Camera Based Threat Awareness for Collision Avoidance". Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263926.
Texto completoFrontkollision (forward collision) är en av de vanligaste och farligaste typerna av trafikolyckor. Många studier och undersökningar har genomförts för att utveckla system för att undvika kollisioner. För att underlätta avvägningar mellan komfort och säkerhet för att undvika Frontkollision måste förarens tillstånd övervakas och skattas. Ett sådant stöd är nödvändigt för Forward Collision Warning (FCW) systemet, som involverar interaktion med människor. Efterfrågan på kamerabaserad uppskattning för föraren har ökat på grund av framsteg Driver Monitoring System (DMS). Det här examensarbete genomfördes på Zenuity AB och undersökte en metod för att skatta förarens medvetenhet baserad på Driver Monitoring System. Uppskattningen av förarens medvetenhet förväntas bidra till att anpassa FCW-systemet. Detta FCW-system är baserat på visuell uppmärksamhet om när oförutsägbar bromsning av det framförvarande fordonet sker. Examensarbetet består av tre uppgifter: blickuppskattning, Gaze-to-Object Mapping (GTOM), och medventenhetsuppskattning. Ett kombinerat Kalman-filter har utvecklats i gaze uppskattning för att kompensera saknade data och outliers samt reducera skillnaden till “ground truth” data. Osäkerhetesmatrisen från gaze uppskattningen användes för att extrahera en gaze-to-object sannolikhetssignal i GTOM. Den motsvarande fixeringsvaraktigheten erhålls också i GTOM. De två extraherade nya egenskaperna användes i medvetenhetsanalys med hjälp av två metoder: logistic regression och two-Hidden Markov Model. Jämförelsen mellan de två metoderna avslöjar om en komplex metod är att föredra eller inte. Resultatet av detta examensarbet visar att logistic regression fungerar bättre i förarens statusuppskattning med 92% noggrannhet och 76.3% True Negative rate. Vidare forskning och förbättringar av den two-hidden Markov modell behövs för att dra en mer omfattande slutsats. Det huvudsakliga bidraget av examensarbetet är en utforskning av en end-to-end metod för att uppskatta förarens medvetenhet och därmed kunna identifiera utmaningar för framtid studie.
Tian, Yi. "Self-Powered Intelligent Traffic Monitoring Using IR Lidar and Camera". Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/74949.
Texto completoMaster of Science
Pozzi, Colakovic Emir. "Monitoring surface cleanliness of manufactured metal parts using camera technique". Thesis, KTH, Industriell produktion, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-232670.
Texto completoTeknisk ytrenhet är ett obligatoriskt krav för många produktionslinor. Det är en del avkvalitetsstyrningsprocessen för att säkerställa att ytorna på de tillverkade komponenterna är friafrån föroreningar och är redo för nästa steg i produktionslinan. Projektet har tagit hänsyn till tvåolika krav relaterade till komponents renhet: för det första mäts renheten som föroreningsnivå påett prov och sedan bestäms partikelstorlekarna. En viktig faktor vid renhetsbestämning ärnärvaron av partiklar som är större än en viss gräns, som kallas de kritiska partiklarna, som måstedetekteras. Avhandlingen är inspirerad av ett problem SCANIA har (2018) i sinproduktionsanläggning i Södertälje, Stockholm. SCANIA har ett kvalitetskontrollsystem somanalyserar föroreningsnivån av få komponenter genom en tidskrävande process vilken tar timmaroch kräver dyra mikroskop, mänskligt ingripande och ett dedikerat mätrum i anläggningen. Syftetmed denna avhandling är att undersöka en alternativ teknisk renhetsövervakningsmetod genombildanalys av förorenade proverna. Med en enkel digitalkamera tas bilder på de förorenadeproverna, bearbetas och analyseras för att uppnå renhetsnivån och partikelstorleken på proven. Iöverensstämmelse med den nuvarande lösningen finns det möjlighet att implementera denföreslagna metoden i produktionslinan, vilket ger större samplingsfrekvens.
Elzagzoug, Ezzaldeen. "Chromatic monitoring of transformer oil condition using CCD camera technology". Thesis, University of Liverpool, 2013. http://livrepository.liverpool.ac.uk/12233/.
Texto completoTrumpp, Alexander, Johannes Lohr, Daniel Wedekind, Martin Schmidt, Matthias Burghardt, Axel R. Heller, Hagen Malberg y Sebastian Zaunseder. "Camera-based photoplethysmography in an intraoperative setting". Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-234950.
Texto completoFreeman, Marianne Sarah. "Development of camera trap methodology in monitoring deer distribution and abundance". Thesis, Queen's University Belfast, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.695342.
Texto completoLO, COCO Eleonora. "Monitoring SO2 degassing on Stromboli using a permanent UV Camera network". Doctoral thesis, Università degli Studi di Palermo, 2020. http://hdl.handle.net/10447/427103.
Texto completoRich, Lindsey N. "Monitoring and Conserving Wildlife Communities across Northern Botswana". Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/82537.
Texto completoPh. D.
Ware, Lezlee J. "Monitoring Visual Attention in Videotaped Interrogations: An Investigation of the Camera Perspective Bias". Ohio : Ohio University, 2006. http://www.ohiolink.edu/etd/view.cgi?ohiou1162582536.
Texto completoBuga, Vlad y Roysten Jason Dsouza. "In-process monitoring for Electron Beam Additive Manufacturing using an infrared camera system". Thesis, KTH, Industriell produktion, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-245064.
Texto completo“Additive manufacturing” (AM) eller “friformsframställning” har snabbt ökat i omfattning, främst tack vare dess fördelar jämfört med konventionell bearbetning. Fördelarna inkluderar möjligheten att tillverka delar med komplexa geometrier medan slöseri minimeras. Den exponentiella tillväxten av tekniken har medfört utmaningar inom kvalitetssäkring, vilket har visat sig vara ett hinder för storskalig anpassning. Utveckling av processövervakningstekniker för AM är en pågående utmaning, och ligger efter i utveckling jämfört med de mer etablerade teknikerna som utvecklats för konventionell bearbetning. Tidigare forskning har visat fall där tekniken har implementerats med fokus på titanlegeringar. Denna studie syftar till att bidra till den forskning som genomförs inom processövervakning och fokuserar på EBM-processen (Electronic Beam Melting). Materialet som övervakas är Inconel 625, för att expandera forskningsområdet till högre temperaturområden. Den mest lämpliga övervakningstekniken och leverantör av utrustning väljs ut genom en gransking av tidigare litteratur och en marknadsundersökning. Experimentella försök för att analysera övervakningsteknikens prestanda med Inconel 625 utförs. De extraherade data analyseras sedan med bildbehandling, vilket ger intressanta resultat med avseende på temperaturfluktuationer över successiva lager av byggobjektet. Händelserna inom byggprocessen för ett lager visar intressanta avvikelser i temperatur, vilka kartläggs och presenteras som grafer. Tillståndet efter räfsning visar en särskilt stor avvikelse, som sedan tillskrivs differentialvärme av metallpulvret under räfsningsfasen. Denna observation stöds genom att notera "cold-spots" i extraherade bilder av byggobjektet. Resultaten diskuteras och vidare omfång för studien framförs. Avsikten med denna studie är att ta fram en grund för vidare forskning i processövervakning för högre temperaturområden och bidra till utvecklingen av realtidsprocessövervakning för AM.
Colyn, Robin. "Optimising camera trap density and position to determine medium and large mammal species richness and occupancy on the Cape Peninsula, South Africa". Thesis, Cape Peninsula University of Technology, 2016. http://hdl.handle.net/20.500.11838/2433.
Texto completoLargely due to anthropogenic causes, biodiversity and particularly species diversity is changing at an extraordinary rate, with declines in species abundance, community composition and extinction risk being of crucial concern. Monitoring of state variables of biodiversity such as species richness and occupancy are of significant importance in determining the severity of threats placed on species, populations and communities. As a non-invasive monitoring method camera traps are noted as being an effective, accurate and rapid means of compiling species richness estimates of medium to large terrestrial mammals. However, crucial elements of camera trap survey design are rarely empirically addressed, which has questioned the need for a standardised camera trapping protocol. Table Mountain National Park (TMNP) is a protected area that is under serious anthropogenic pressure through urban and peri-urban development. Although it is the last refuge for a number of large mammal species on the Cape Peninsula, current mammalian species richness knowledge within the TMNP are limited. Accurate and current species richness estimates are therefore needed within TMNP and more specifically the Cape of Good Hope (CoGH), which exclusively hosts a number of medium and large mammal species. The aims of this study were to optimise a camera survey protocol for the Peninsula region, with a focus on camera density, placement and survey duration that will enable accurate estimations of medium to large mammal species richness and occupancy.
Sain, Mohit. "Portable Monitoring and Navigation Control System for Helping Visually Impaired People". Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/36869.
Texto completoWilliams, Kenton. "Digital Vertical Aerial Camera System for High-resolution Site Inspections in Conservation Easment Monitoring". Fogler Library, University of Maine, 2005. http://www.library.umaine.edu/theses/pdf/WilliamsK2005.pdf.
Texto completoMishra, Bhupesh K., Dhaval Thakker, S. Mazumdar, Sydney Simpson y Daniel Neagu. "Using deep learning for IoT-enabled smart camera: a use case of flood monitoring". IEEE, 2019. http://hdl.handle.net/10454/17181.
Texto completoIn recent years, deep learning has been increasingly used for several applications such as object analysis, feature extraction and image classification. This paper explores the use of deep learning in a flood monitoring application in the context of an EC-funded project, Smart Cities and Open Data REuse (SCORE). IoT sensors for detecting blocked gullies and drainages are notoriously hard to build, hence we propose a novel technique to utilise deep learning for building an IoT-enabled smart camera to address this need. In our work, we apply deep leaning to classify drain blockage images to develop an effective image classification model for different severity of blockages. Using this model, an image can be analysed and classified in number of classes depending upon the context of the image. In building such model, we explored the use of filtering in terms of segmentation as one of the approaches to increase the accuracy of classification by concentrating only into the area of interest within the image. Segmentation is applied in data pre-processing stage in our application before the training. We used crowdsourced publicly available images to train and test our model. Our model with segmentation showed an improvement in the classification accuracy.
Research presented in this paper is funded by the European Commission Interreg project Smart Cities and Open Data REuse (SCORE).
Ghanadian, Hamideh. "A Machine Learning Method to Improve Non-Contact Heart Rate Monitoring Using RGB Camera". Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/38563.
Texto completoRossi, Rebecca K. "Evaluation of `Structure-from-Motion' from a Pole-Mounted Camera for Monitoring Geomorphic Change". DigitalCommons@USU, 2018. https://digitalcommons.usu.edu/etd/6924.
Texto completoAfrifa-Yamoah, Ebenezer. "Imputation, modelling and optimal sampling design for digital camera data in recreational fisheries monitoring". Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2021. https://ro.ecu.edu.au/theses/2387.
Texto completoBergman, Lars. "Using Multicoloured Halftone Screens for Offset Print Quality Monitoring". Licentiate thesis, Linköping : Univ, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-5573.
Texto completoGooley, Aaron Clinton. "RECOVERY OF THE EASTERN WOODRAT IN SOUTHERN ILLINOIS: DISTRIBUTION, DEMOGRAPHICS, AND NONINVASIVE MONITORING". OpenSIUC, 2019. https://opensiuc.lib.siu.edu/dissertations/1694.
Texto completoYamagata, Seishi. "Effect of Video Camera-Based Remote Roadway Condition Monitoring on Snow Removal-Related Maintenance Operations". BYU ScholarsArchive, 2014. https://scholarsarchive.byu.edu/etd/4110.
Texto completoAbtahi, Shabnam. "Driver Drowsiness Monitoring Based on Yawning Detection". Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23295.
Texto completoRyan, David Andrew. "Crowd monitoring using computer vision". Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/65652/1/David_Ryan_Thesis.pdf.
Texto completoRoellinghoff, Frauke. "Design and implementation of a prompt-gamma camera for real-time monitoring of ion beam therapy". Thesis, Lyon, INSA, 2014. http://www.theses.fr/2014ISAL0024.
Texto completoProtontherapy is a promising technique for tumor treatment that is becoming more and more widespread. The sharply peaked profile of the dose and the finite particle range allow for very conformal treatment and better sparing of healthy tissue beyond the tumor, but he precise delivery also proves to be the biggest challenge of the technique. Errors in range are a considerable risk in proton therapy and no range monitoring method is currently systematically used for quality control. In this manuscript, an indirect method of measuring the dose distribution, via the detection of secondary prompt gamma radiation emitted along the beam path, is explored. Two different one-dimensional collimated camera concepts, a multi-parallel-slit camera and a knife-edge slit camera are compared with regards to their potential use. Both systems are optimized via Monte Carlo simulation and measurements are presented for validation. The comparison is made on the basis of the precision with which a shift in the prompt gamma profile falloff edge can be retrieved by comparison with a reference profile as well as the spatial resolution, the cost, weight and bulkiness of the system and guidelines are given for choosing the best configuration for different requirements. Similar values can be obtained for both concepts, reaching a precision for the retrieval of the falloff edge of around 2 mm for a single pencil beam spot of 5×107 protons. This study concludes with an outlook on future developments and areas of investigation with the goal of reaching clinical applicability of a prompt gamma detection system
Dovgalecs, Vladislavs. "Indoor location estimation using a wearable camera with application to the monitoring of persons at home". Thesis, Bordeaux 1, 2011. http://www.theses.fr/2011BOR14384/document.
Texto completoVisual lifelog indexing by content has emerged as a high reward application. Enabled by the recent availability of miniaturized recording devices, the demand for automatic extraction of relevant information from wearable sensors generated content has grown. Among many other applications, indoor localization is one challenging problem to be addressed.Many standard solutions perform unreliably in indoors conditions or require significant intervention. In this thesis we address from the perspective of wearable video camera sensors using an image-based approach. The key contribution of this work is the development and the study of a location estimation system composed of diverse modules, which perform tasks ranging from low-level visual information extraction to final topological location estimation with the aid of automatic indexing algorithms. Within this framework, important contributions have been made by efficiently leveraging information brought by multiple visual features, unlabeled image data and the temporal continuity of the video.Early and late data fusion were considered, and shown to take advantage of the complementarities of multiple visual features describing the images. Due to the difficulty in obtaining annotated data in our context, semi-supervised approaches were investigated, to use unlabeled data as additional source of information, both for non-linear data-adaptive dimensionality reduction, and for improving classification. Herein we have developed a time-aware co-training approach that combines late data-fusion with the semi-supervised exploitation of both unlabeled data and time information. Finally, we have proposed to apply transformation invariant learning to adapt non-invariant descriptors to our localization framework.The methods have been tested on controlled publically available datasets to evaluate the gain of each contribution. This work has also been applied to the IMMED project, dealing with activity recognition and monitoring of the daily living using a wearable camera. In this context, the developed framework has been used to estimate localization on the real world IMMED project video corpus, which showed the potential of the approaches in such challenging conditions
Hassan, Hosseini Hourieh. "Vehicle-to-Infrastructure connected smart cameras for intersection monitoring: concept study". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.
Buscar texto completoLarsson, Carl y Martin Magnusson. "Problem prevention using the DCOV approach : A case study on a camera monitoring system at Volvo Cars". Thesis, Luleå tekniska universitet, Institutionen för ekonomi, teknik och samhälle, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-74807.
Texto completoNayyerloo, Mostafa. "Real-time Structural Health Monitoring of Nonlinear Hysteretic Structures". Thesis, University of Canterbury. Department of Mechanical Engineering, 2011. http://hdl.handle.net/10092/6581.
Texto completoMangus, Devin. "Developing thermal infrared imaging systems for monitoring spatial crop temperatures for precision agriculture applications". Thesis, Kansas State University, 2015. http://hdl.handle.net/2097/35241.
Texto completoDepartment of Biological & Agricultural Engineering
Ajay Sharda
Precise water application conserves resources, reduces costs, and optimizes plant performance and quality. Existing irrigation scheduling utilizes single, localized measurements that do not account for spatial crop water need; but, quick, single-point sensors are impractical for measuring discrete variations across large coverage areas. Thermography is an alternate approach for measuring spatial temperatures to quantify crop health. However, agricultural studies using thermography are limited due to previous camera expense, unfamiliar use and calibration, software for image acquisition and high-throughput processing specifically designed for thermal imagery mapping and monitoring spatial crop water need. Recent advancements in thermal detectors and sensing platforms have allowed uncooled thermal infrared (TIR) cameras to become suited for crop sensing. Therefore, a small, lightweight thermal infrared imaging system (TIRIS) was developed capable of radiometric temperature measurements. One-time (OT) and real-time (RT) radiometric calibrations methods were developed and validated for repeatable, temperature measurements while compensating for strict environmental conditions within a climate chamber. The Tamarisk® 320 and 640 analog output yielded a measurement accuracy of ±0.82°C or 0.62ºC with OT and RT radiometric calibration, respectively. The Tamarisk® 320 digital output yielded a measurement accuracy of ±0.43 or 0.29ºC with OT and RT radiometric calibration, respectively. Similarly, the FLIR® Tau 2 analog output yielded a measurement accuracy of ±0.87 or 0.63ºC with OT and RT radiometric calibration, respectively. A TIRIS was then built for high-throughput image capture, correction, and processing and RT environmental compensation for monitoring crop water stress within a greenhouse and temperature mapping aboard a small unmanned aerial systems (sUAS). The greenhouse TIRIS was evaluated by extracting plant temperatures for monitoring full-season crop water stress index (CWSI) measurements. Canopy temperatures demonstrated that CWSI explained 82% of the soil moisture variation. Similarly, validation aboard a sUAS provided radiometric thermal maps with a ±1.38°C (α=0.05) measurement accuracy. Due to the TIR cameras’ performance aboard sUAS and greenhouse platforms, a TIRIS provides unparalleled spatial coverage and measurement accuracy capable of monitoring subtle crop stress indicators. Further studies need to be conducted to produce spatial crop water stress maps at scales necessary for variable rate irrigation systems.
Vorajee, Naadir M. "The investigation of an inexpensive infra-red camera based building monitoring system for the aid of efficient building development". Master's thesis, Faculty of Engineering and the Built Environment, 2019. http://hdl.handle.net/11427/31298.
Texto completoMoissl, Richard. "Morphology and dynamics of the Venus atmosphere at the cloud top level as observed by the Venus monitoring camera". Katlenburg-Lindau Copernicus Publ.***5004719, 2008. http://d-nb.info/990118193/04.
Texto completoWare, Lezlee J. "The Highs and Lows of Visual Salience and Status:Influential Factors in Source Monitoring Decisions". Ohio University / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1242239270.
Texto completoSzczepanski, Michał. "Online stereo camera calibration on embedded systems". Thesis, Université Clermont Auvergne (2017-2020), 2019. http://www.theses.fr/2019CLFAC095.
Texto completoThis thesis describes an approach for online calibration of stereo cameras on embeddedsystems. It introduces a new functionality for cyber physical systems by measuring the qualityof service of the calibration. Thus, the manuscript proposes a dynamic monitoring andcalculation of the internal sensor parameters required for many computer vision tasks. Themethod improves both security and system efficiency using stereo cameras. It prolongs the lifeof the devices thanks to this self-repair capability, which increases autonomy. Systems such asmobile robots or smart glasses in particular can directly benefit from this technique.The stereo camera is a sensor capable of providing a wide spectrum of data. Beforehand, thissensor must be extrinsically calibrated, i.e. the relative positions of the two cameras must bedetermined.. However, camera extrinsic calibration can change over time due to interactionswith the external environment for example (shocks, vibrations...). Thus, a recalibrationoperation allow correcting these effects. Indeed, misunderstood data can lead to errors andmalfunction of applications. In order to counter such a scenario, the system must have aninternal mechanism, a quality of service, to decide whether the current parameters are correctand/or calculate new ones, if necessary.The approach proposed in this thesis is a self-calibration method based on the use of data coming only from the observed scene, without controlled models. First of all, we consider calibration as a system process running in the background and having to run continuously in real time. This internal calibration is not the main task of the system, but the procedure on which high-level applications rely. For this reason, system constraints severely limit the algorithm in terms of complexity, memory and time. The proposed calibration method requires few resources and uses standard data from computer vision applications, so it is hidden within the application pipeline. In this manuscript, we present many discussions to topics related to the online stereocalibration on embedded systems, such as problems on the extraction of robust points ofinterest, the calculation of the scale factor, hardware implementation aspects, high-levelapplications requiring this approach, etc. Finally, this thesis describes and explains amethodology for the building of a new type of dataset to represent the change of the cameraposition to validate the approach. The manuscript also explains the different workenvironments used in the realization of the datasets and the camera calibration procedure. Inaddition, it presents the first prototype of a smart helmet, on which the proposed self-calibration service is dynamically executed. Finally, this thesis characterizes the real-timecalibration on an embedded ARM Cortex A7 processor
Langkau, Manuel [Verfasser], Jost [Gutachter] Borcherding y Hartmut [Gutachter] Arndt. "Echoes in motion: An acoustic camera (DIDSON) as a monitoring tool in applied freshwater ecology / Manuel Langkau ; Gutachter: Jost Borcherding, Hartmut Arndt". Köln : Universitäts- und Stadtbibliothek Köln, 2018. http://d-nb.info/1161531726/34.
Texto completoFroude, Melanie. "Lahar dynamics in the Belham river valley, Montserrat : application of remote-camera based monitoring for improved sedimentological interpretation of post-event deposits". Thesis, University of East Anglia, 2015. https://ueaeprints.uea.ac.uk/53421/.
Texto completoAsselin, Matthew. "Optical Sensor for Measurement of Clad Height during Laser Cladding Process". Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/874.
Texto completoIn this thesis, an optical sensor is developed to monitor the process zone. The sensor will output a measurement of the height of solidified clad, which in turn can be used by a controller to adjust this geometrical feature. The thesis is divided into three main parts, each contributing to the final algorithm.
First, in Chapter 3 an analysis is performed on the light irradiating from the interaction zone (or melt pool). It is stated that the dominating source of light is governed by blackbody radiation from this molten metal. This is confirmed by analyzing a series of images captured through a digital camera, where various narrow bandpass filters were utilized to selectively view a portion of the CCD-sensor's spectrum. This investigation also leads to the selection of bandpass filter such that a stable, relatively intense melt pool is captured through the digital camera's CCD-sensor.
Second, in Chapter 4 the captured images are taken through a pair of image processing techniques, outputting a series of coordinates representating the melt pool's boundary. The image is first analyzed to calculate an optimal threshold level based on the minimization of fuzzy entropy. With this threshold selected, the grayscale image is converted into black-and-white, where the white pixels represent the melt pool. After this step, the melt pool's boundary is extracted through an 8-connectivity border tracing algorithm. This technique outputs a series of coordinates (in pixels) as though one were traveling along the melt pool in a clockwise rotation.
Last, Chapter 5 analyzes these pixel coordinates to extract the melt pool's height. The coordinates are first transformed into real-world coordinates, by use of a perspective transformation. This transformation essentially yields the melt pool's shadow, as created by a light-source coincident with the camera. As a result, the melt pool's height is estimated based upon a right-angle triangle, where the camera's angle is known, and the projected coordinates represent the shadow length (triangle's base).
The result of applying this series of steps to the estimation of clad heights is found at the end of Chapter 5. Results varied dramatically, from 4% error to 393%. Although the errors are large at times, they are mainly caused by a bias in the estimate. That is, the dynamics of the true clad formation are very well predicted by the algorithm, however, shifting by a certain amount. This amount varies both with substrate velocity, and the clad's direction of travel, relative to the camera. A partial explanation is given such that the clad's height is offset from the laser center-point, which is a function of both these parameters. However, the specific relationship requires further experimentation.
Hardy, Alec W. "Pier Portal". DigitalCommons@CalPoly, 2020. https://digitalcommons.calpoly.edu/theses/2281.
Texto completoCaesar, Nicole O. "An evaluation of the Along Track Reef Imaging System (ATRIS) for efficient reef monitoring and rapid groundtruthing of EAARL Lidar". [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001483.
Texto completoGasparrini, Samuele. "Activity monitoring and behaviour analysis using RGB-depth sensors and wearable devices for ambient assisted living applications". Doctoral thesis, Università Politecnica delle Marche, 2016. http://hdl.handle.net/11566/243152.
Texto completoNowadays, in the developed countries, the percentage of the elderly is growing. This situation is a consequence of improvements in people's quality life and developments in the medical field. Because of ageing, people have higher probability to be affected by age-related diseases classified in three main groups physical, perceptual and mental. Therefore, the direct consequence is a growing of healthcare system costs and a not negligible financial sustainability issue which the EU will have to face in the next years. One possible solution to tackle this challenge is exploiting the advantages provided by the technology. This paradigm is called Ambient Assisted Living (AAL) and concerns different areas, such as mobility support, health and care, privacy and security, social environment and communication. In this thesis, two different type of sensors will be used to show the potentialities of the technology in the AAL scenario. RGB-Depth cameras and wearable devices will be studied to design affordable solutions. The first one is a fall detection system that uses the distance information between the target and the camera to monitor people inside the covered area. The application will trigger an alarm when recognizes a fall. An alternative implementation of the same solution synchronizes the information provided by a depth camera and a wearable device to classify the activities performed by the user in two groups: Activity Daily Living and fall. In order to assess the fall risk in the elderly, the second proposed application uses the previous sensors configuration to measure kinematic parameters of the body during a specific assessment test called Timed Up and Go. Finally, the third application monitor's the user's movements during an intake activity. Especially, the drinking gesture can be recognized by the system using the depth information to track the hand movements whereas the RGB stream is exploited to classify important objects placed on a table.
Liprandi, Silvia [Verfasser] y Peter [Akademischer Betreuer] Thirolf. "Development and performance evaluation of detectors in a Compton camera arrangement for ion beam range monitoring in particle therapy / Silvia Liprandi ; Betreuer: Peter Thirolf". München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2018. http://d-nb.info/1199265233/34.
Texto completoMirzaei, Golrokh. "Data Fusion of Infrared, Radar, and Acoustics Based Monitoring System". University of Toledo / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1396564236.
Texto completoLangri, Dharminder Singh. "Monitoring Cerebral Functional Response using sCMOS-based High Density Near Infrared Spectroscopic Imaging". Wright State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1558610822306817.
Texto completoCOLUCCI, DOMENICO. "Infrared Imaging: a New Process Analytical Technology for Real Time Monitoring and Control of a Freeze-Drying Process". Doctoral thesis, Politecnico di Torino, 2020. http://hdl.handle.net/11583/2823943.
Texto completoFelix, Martin. "Monitorovací a zabezpečovací systém". Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237157.
Texto completoVan, den Berg Reinier. "The breeding ecology of the northern lapwing (Vanellus vanellus) in France : investigating the decline of a widely-distributed wader". Electronic Thesis or Diss., Strasbourg, 2024. http://www.theses.fr/2024STRAJ017.
Texto completoThe Northern Lapwing (Vanellus vanellus), a wader breeding in open habitat across temperate Eurasia – including mainland France – is a species undergoing a decades‐long population decline. In this thesis, the primary objective was to quantify the rates of hatching success in two regions of France, where we found higher success rates in the region of Hauts‐de‐France as compared to Alsace.In a species conservation context, we were interested in the impact of disturbances during our nest visits might have on lapwings’ behaviour. We observed lapwings return to their nests more quickly when the clutch was closer to hatching, and when temperatures were higher. Finally, in the context of climatic change, which will lead to more frequent extreme climate events, we investigated which compensatory behaviours would be shown by lapwings in warm weather
ASNANI, SORATH. "Image Processing for Machine Vision Applications". Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2970991.
Texto completoWitt, Tanja Ivonne [Verfasser], Thomas R. [Akademischer Betreuer] Walter, Bernd [Akademischer Betreuer] Zimanowski, Magnus Tumi [Gutachter] Gudmundsson y Helge [Gutachter] Gonnermann. "Camera Monitoring at volcanoes : Identification and characterization of lava fountain activity and near-vent processes and their relevance for early warning systems / Tanja Ivonne Witt ; Gutachter: Magnus Tumi Gudmundsson, Helge Gonnermann ; Thomas R. Walter, Bernd Zimanowski". Potsdam : Universität Potsdam, 2018. http://d-nb.info/1218404205/34.
Texto completoВладика, Роман Володимирович, Валерій Володимирович Пирха, Roman Vladyka y Valeriy Pyrkha. "Розробка та дослідження автономної інтелектуальної системи моніторингу дорожнього руху з використанням ІЧ-радару та камери". Master's thesis, Тернопіль, ТНТУ, 2020. http://elartu.tntu.edu.ua/handle/lib/33227.
Texto completoУ роботі проаналізовано методи моніторингу дорожнього руху, їх переваги та недоліки. Обрано оптимальні методи моніторингу дорожнього руху, які зможуть забезпечити стабільні та надійні дані про дорожній рух, включаючи підрахунок транспортних засобів, індивідуальну швидкість руху і клас транспортного засобу. Досліджено результати експерименту моніторингу дорожнього руху. На його основі розраховано перехід між режимами живлення. Розроблено систему динамічного управління живленням. Запропоновано прототип автономної системи моніторингу дорожнього руху. Обрано апаратні комплектуючі. The methods of traffic monitoring, their advantages and disadvantages are analyzed in the work. The best methods of traffic monitoring have been selected, which will be able to provide stable and reliable traffic data, including vehicle counting, individual speed and vehicle class. The results of the traffic monitoring experiment are investigated. Based on it, the transition between power modes is calculated. A dynamic power management system has been developed. A prototype of an autonomous traffic monitoring system is proposed. Hardware components are selected.
ВСТУП 6 1 АНАЛІТИЧНА ЧАСТИНА 7 1.1 Засоби моніторингу дорожнього руху 7 1.2 Динамічне управління живленням 10 1.3 Роль інфраструктури транспортної системи при моніторингу дорожнього руху 11 1.4 Вплив зовнішніх факторів на моніторинг дорожнього руху 13 1.5 Процедури вимірювання кількості, швидкості та габаритів транспортних засобів 14 1.6 Застосування Фільтра Калмана при моніторингу дорожнього руху 15 1.6.1 Сігма-точковий фільтр Калмана 18 2 ТЕХНОЛОГІЧНА ЧАСТИНА 22 2.1 Багато точкове вимірювання короткої ділянки за допомогою ІЧ-лідара та камери для моніторингу дорожнього руху 22 2.1.1 Вимірювання короткої ділянки дороги за допомогою лідара 22 2.1.2 Вимірювання короткої ділянки дороги за допомогою за допомогою камери 22 2.1.3 Вимірювання короткої ділянки дороги за допомогою ІЧ-лідара та камери 24 2.2 Визначення розташування, швидкості та габаритів транспортного засобу за допомогою фільтра Калмана 25 2.3 Загальний процес моніторингу дорожнього руху 27 3 КОНСТРУКТОРСЬКА ЧАСТИНА 29 3.1 Динамічне управління живленням на основі потоку руху 29 3.2 Система динамічного управління живленням 30 3.2.1 Адаптивний превентивний ДУЖ 30 3.2.2 Диспетчер стану живлення: перехід між режимами живлення 31 3.2.3 Диспетчер стану живлення 33 4 НАУКОВО-ДОСЛІДНА ЧАСТИНА 38 4.1 Налаштування експерименту 38 4.2 Результати моніторингу траси 38 4.2.1 Результати підрахунку і аналіз транспортних засобів 38 4.2.2 Результат і аналіз оцінки швидкості транспортного засобу 42 4.3 Вплив динамічного управління живленням 43 4.3.1 Збільшення енергоефективності 43 4.3.2 Перехід між режимами живлення 45 4.3.3 Зміна режиму живлення при великих групах транспортних засобів 46 5 СПЕЦІАЛЬНА ЧАСТИНА 50 5.1 Підбір апаратного забезпечення 50 5.2 Встановлення та калібрування 54 5.3 Режими системи живлення 56 6 ОХОРОНА ПРАЦІ ТА БЕЗПЕКА В НАДЗВИЧАЙНИХ СИТУАЦІЯХ 59 6.1 Значення охорони праці для забезпечення безпечних умов праці 59 6.2 Системи засобів і заходів щодо електробезпеки 61 ВИСНОВКИ 65 БІБЛІОГРАФІЯ 66