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Northern bobwhite (Colinus virginianus) monitoring (e.g., covey-call surveys) is labor-intensive and imprecise. We evaluated the influence of bobwhite covey size and cover type on covey detectability when surveyed with a thermal camera-equipped small unmanned aerial system (sUAS). We placed bobwhite groups (3, 6, and 12 individuals/cage) among three cover types (grass, shrub, forest) on a private farm in Clay County, Mississippi (3 replicates, 27 total cages). At civil twilight, the sUAS flew over cages at 30 m, capturing photographs every 5 s. We asked 31 volunteers to evaluate 57 photographs for covey presence. Overall true positive rate was 0.551, but improved with increasing covey size. Coveys in grass had lowest true positive rate by photograph (0.403), followed by forest (0.562) and shrub (0.605). Results indicate that thermal sUAS could be a viable method for surveying intact bobwhite coveys, especially if detection of smaller groups and those in denser vegetation improves.

The study identifies a specific problem area related to students' misconceptions about heat and heat conduction. The aims of the study are to contribute knowledge about how practical activities with thermal cameras impact the interaction and understanding of heat conduction among intermediate-grade students. The study was conducted with 23 fifth-grade students in two different schools in Sweden. To address the study's purpose, groups of three to four students were observed during a designed activity in which we participated. This activity included discussions and experiments on heat conduction using a thermal camera. The activity was recorded on video and later analysed. The results of the study, presented in three experiments, indicate that the use of thermal cameras can effectively support students' understanding of heat conduction. Students articulate the concept of heat conduction and use it in discussions. Visualizing heat with the help of thermal cameras facilitates students in connecting theoretical concepts to practical situations and enhances their ability to explain and reason about the phenomenon. The study also highlights the teacher's role in guiding students in their development. Despite some difficulties in verbalizing their conclusions, students show increased awareness of heat conduction and its connection to different materials. The study thus emphasizes the potential of using thermal cameras to support teaching and improve students' understanding of how heat spreads. / Studien identifierar ett specifikt problemområde relaterat till elevers missuppfattningar om värme och värmeledning. Syften med studien är att bidra med kunskap om hur praktiska aktiviteter med värmekameror påverkar mellanstadieelevers interaktion och förståelse för hur värme sprids genom ledning. Studien är utförd på 23 elever i årskurs 5 på två olika skolor i Sverige.    För att besvara studiens syfte observerades grupper av tre till fyra elever under en designad aktivitet där vi deltog. I denna aktivitet ingick diskussioner och experiment om värmeledning där värmekamera användes. Aktiviteten videofilmades och analyserades senare.  Studiens resultat, presenterade i tre experiment, visar att användningen av värmekameror effektivt kan stödja elevernas förståelse för värmeledning. Eleverna uttrycker begreppet värmeledning och använder det i diskussioner. Visualiseringen av värme med hjälp av värmekameror underlättar för eleverna att koppla teoretiska begrepp till praktiska situationer och främjar deras förmåga att förklara och resonera kring fenomenet. Studien belyser också lärarens roll för att vägleda eleverna i deras utveckling. Trots vissa svårigheter att verbalisera sina slutsatser visar eleverna ökad medvetenhet om värmeledning och dess koppling till olika material. Studien betonar således potentialen i att använda värmekameror för att stödja undervisningen och förbättra elevernas förståelse för hur värme sprids.

A device for identifying forest fires in an early stage has been developed during the course of this project. Attached to a drone, this prototype will provide a live-stream to a web server displaying a blended frame, made of a thermographic image showing thermal radiation and a regular photography with the visible light. The platform consists of a small single-boarded computer, a thermal camera sensor and a regular camera module. All powered by a power bank and fitted into a custom made 3D printed plastic case. At startup the computer automatically executes scripts written in Python, initializing its sensor components and processes the captured images which finally gets transmitted to a live-stream via a web server connection. Everything described above worked well, but originally the intent was for the web interface to provide a map with the current location coordinates of the drone. Since a module for mobile communication with support for GPS was not acquired, any implementation of such kind was impossible. However, several drone models already possess the feature to obtain such coordinates.

Packages that are left unattended in public spaces are a security concern and timely detection of these packages is important for prevention of potential threats. Operators should be always alert to detect abandoned items in crowded environments. However, it is very difficult for operators to stay concentrated for extended periods. Therefore, it is important to aid operators with automatic detection of abandoned items. Most of the methods in the literature define abandoned items as items newly added to the scene and stayed stationary for a predefined time. Hence other stationary objects, such as people sitting on a bench are also detected as suspicious objects resulting in a high number of false alarms. These false alarms could be prevented by discriminating suspicious items as living/nonliving objects. In this thesis, visible band and thermal band cameras are used together to analyze the interactions between humans and other objects. Thermal images help classification of objects using their heat signatures. This way, people and the objects they carry or left behind can be detected separately. Especially, it is aimed to detect abandoned items and discriminate living or nonliving objects

The main theme of the master's thesis is using of thermal camera to measure temperatures in electrical engineering. First are mentioned the physical principles of heat transfer. Then the thesis deals with methods of determining the correct emissivity of the measured object and in the next point with sensors designed for sensing infrared radiation, there is also part dedicated to evaluation software Report Sat Standard, which was used to evaluate the pictures taken with thermal camera SAT-HY 6800. Next part of this work is the measurement of the DC and EC motor with help of thermocamera, which took place in the electric company ATAS Nachod. Attachment to this master's thesis there is animation of EC motor created in Autodesk Inventor.

This diploma thesis is focused on the design of IP blocks for thermal camera. This termal camera is intended for plant research. The main part of the thermal camera is an infrared detector that detects a frequency in the range of 8 – 14 m. The analogue signal obtained is modified and subsequently digitized. The detector also includes a Peltier device which is designed for both detector cooling and heating, and is controlled by an external signal. The MicroZed development board implements IP blocks. The thermal camera is designed to be controlled from the MicroZed board. Device analysis is first described from the theoretical part to the design of IP blocks.

Images of human face are one of the most used biometric features in automatic identification. This article presents an approach which uses face images in thermal (infrared) spectrum for purpose of important face features (eyes position, head rotation) detection and identification.

Este trabalho apresenta a pesquisa e desenvolvimento de algoritmos de pré-processamento digital de imagens para câmeras térmicas não refrigeradas na faixa espectral do infravermelho distante. O estudo de câmeras infravermelhas é uma questão estratégica, uma vez que tem aplicações militares, civis e científicas. Este trabalho define a concepção e implementação de algoritmos de pré-processamento de imagem necessários para obter imagens com baixo ruído e alto contraste, tais como: correção de não-uniformidade, substituição de pixels defeituosos, geração de histograma, aumento de contraste e processamento de saída do pixel, com taxa de 30 quadros por segundo, utilizando detector não-resfriado com matriz de plano focal de 320 x 240 pixels. Neste trabalho todos os algoritmos foram implementados em software para se obter resultados rapidamente e, assim, facilitar a validação dos códigos. Foram gerados resultados de caracterização eletro-óptica do sistema montado com indicação das principais figuras de mérito que norteiam o estudo desta tecnologia, tais como: componentes de ruído tridimensionais, potência equivalente de ruído, responsividade e relação sinal-ruído. Os resultados indicam que os algoritmos de pré-processamento de imagem propostos aumentam a qualidade da imagem a ser exibida, e os resultados das figuras de mérito calculadas sobre o vídeo digital mostram que todas as métricas apresentaram resultados satisfatórios. / This work aims to present the research and development of digital image processing algorithms for uncooled LWIR thermal camera in Brazil. The study of an infrared thermal camera is a strategic issue since that has more and more applications in military, judicature, rescue, industry, hospital and science areas. This work describes the design and implementation of all image-processing algorithms required to obtain high-performance images with low noise and high contrast, such as: functions for non-uniformity correction of sensor deficiencies, dead-pixel replacement algorithms, histogram generation, contrast enhancement methods and output pixel processing with frame rate of 30 frames per second based on 320 x 240 Uncooled Focal Plane Array (UFPA). In this work all algorithms was implemented in software to get results quickly and to facilitate the validation of computer codes. There are some results of electro-optical characterization on the assembled system, indicating the main figures of merit that guide the study of this technology, such as: 3D noise components, noise equivalent power (NEP), signal transfer function (SiTF) and noise equivalent temperature difference (NETD). The results indicate that the proposed imageprocessing algorithms increase the quality of the corrected image, and the test results through the digital video of the infrared camera show that all metrics are in accordance with its nominal value.

Este trabalho apresenta a pesquisa e desenvolvimento de algoritmos de pré-processamento digital de imagens para câmeras térmicas não refrigeradas na faixa espectral do infravermelho distante. O estudo de câmeras infravermelhas é uma questão estratégica, uma vez que tem aplicações militares, civis e científicas. Este trabalho define a concepção e implementação de algoritmos de pré-processamento de imagem necessários para obter imagens com baixo ruído e alto contraste, tais como: correção de não-uniformidade, substituição de pixels defeituosos, geração de histograma, aumento de contraste e processamento de saída do pixel, com taxa de 30 quadros por segundo, utilizando detector não-resfriado com matriz de plano focal de 320 x 240 pixels. Neste trabalho todos os algoritmos foram implementados em software para se obter resultados rapidamente e, assim, facilitar a validação dos códigos. Foram gerados resultados de caracterização eletro-óptica do sistema montado com indicação das principais figuras de mérito que norteiam o estudo desta tecnologia, tais como: componentes de ruído tridimensionais, potência equivalente de ruído, responsividade e relação sinal-ruído. Os resultados indicam que os algoritmos de pré-processamento de imagem propostos aumentam a qualidade da imagem a ser exibida, e os resultados das figuras de mérito calculadas sobre o vídeo digital mostram que todas as métricas apresentaram resultados satisfatórios. / This work aims to present the research and development of digital image processing algorithms for uncooled LWIR thermal camera in Brazil. The study of an infrared thermal camera is a strategic issue since that has more and more applications in military, judicature, rescue, industry, hospital and science areas. This work describes the design and implementation of all image-processing algorithms required to obtain high-performance images with low noise and high contrast, such as: functions for non-uniformity correction of sensor deficiencies, dead-pixel replacement algorithms, histogram generation, contrast enhancement methods and output pixel processing with frame rate of 30 frames per second based on 320 x 240 Uncooled Focal Plane Array (UFPA). In this work all algorithms was implemented in software to get results quickly and to facilitate the validation of computer codes. There are some results of electro-optical characterization on the assembled system, indicating the main figures of merit that guide the study of this technology, such as: 3D noise components, noise equivalent power (NEP), signal transfer function (SiTF) and noise equivalent temperature difference (NETD). The results indicate that the proposed imageprocessing algorithms increase the quality of the corrected image, and the test results through the digital video of the infrared camera show that all metrics are in accordance with its nominal value.