Automatizované měření teploty v boji proti COVID
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Mark
D
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Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
Abstract
Táto práca sa zaoberá tvorbou voľne šíriteľného programu, ktorý dokáže automatizované rozpoznávanie tváre v obraze z termovíznej kamery a následne odmeranie jej teploty. Program má prispieť v boji proti šíreniu ochorenia COVID-19. V práci používam termovíznu kameru TIM400. Detekcia tváre bola implementovaná pomocou modulu OpenCV. Použité a testované boli tri metódy, a to Template Matching, EigenFaces a kaskádny klasifikátor. Kaskádny klasifikátor mal najlepšie výsledky a bol použitý do výsledného programu. Oblasť, podľa ktorej program rozpozná osobu, je okolie očí. Meranie teploty prebieha na povrchu čela tváre. Osoba môže mať zakryté ústa rúškom alebo respirátorom. Meranie prebieha v reálnom čase a dokáže snímať niekoľko osôb naraz. Program zaznamenáva do súboru čas a teplotu každej meranej osoby. Celý program je súčasťou inštalačného súboru, ktorý sa môže nainštalovať na operačný systém Windows. Funkčnosť celého programu bola otestovaná, pričom súčasťou práce je aj videozáznam z prevádzky.
This thesis focuses on the development of an open source software capable of automatic face detection in an image captured by a thermal camera, followed by a temperature measuring. This software is supposed to aid in the COVID-19 pandemics. The developed software is independent of used thermal camera. In this thesis, I am using TIM400 thermal camera. The implementation of the face detection was achieved by an OpenCV module. The methods tested were Template Matching, Eigen Faces, and Cascade Classifier. The last-mentioned had the best results, hence was used in the final version of the software. Cascade Classifier is looking for the eyes and their surrounding area in the image, allowing the software to subsequently measure the temperature on the surface of one's forehead. One can therefore be wearing a face mask or a respirator safely. The temperature measuring works in real time and the software is able to capture several people at once. It then keeps a record of the temperature of each measured individual as well as the time of the measurement. The software as a whole is a part of an installation file compatible with the Windows operating system. The functionality of this software was tested – the video recordings are included in this thesis.
This thesis focuses on the development of an open source software capable of automatic face detection in an image captured by a thermal camera, followed by a temperature measuring. This software is supposed to aid in the COVID-19 pandemics. The developed software is independent of used thermal camera. In this thesis, I am using TIM400 thermal camera. The implementation of the face detection was achieved by an OpenCV module. The methods tested were Template Matching, Eigen Faces, and Cascade Classifier. The last-mentioned had the best results, hence was used in the final version of the software. Cascade Classifier is looking for the eyes and their surrounding area in the image, allowing the software to subsequently measure the temperature on the surface of one's forehead. One can therefore be wearing a face mask or a respirator safely. The temperature measuring works in real time and the software is able to capture several people at once. It then keeps a record of the temperature of each measured individual as well as the time of the measurement. The software as a whole is a part of an installation file compatible with the Windows operating system. The functionality of this software was tested – the video recordings are included in this thesis.
Description
Keywords
automatizované meranie teploty, detekcia tváre na termovíznom snímku, eigenfaces, meranie teploty čela, termovízna kamera, termovízne snímky tvárí, TIM400, automatic fever screening, eigenfaces, face detection on thermal image, measurement forehead temperature, thermal imaging camera, template matching, thermal face images, TIM400
Citation
ROMAN, M. Automatizované měření teploty v boji proti COVID [online]. Brno: Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. 2021.
Document type
Document version
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Language of document
sk
Study field
bez specializace
Comittee
prof. Ing. Luděk Žalud, Ph.D. (předseda)
doc. Ing. Petr Beneš, Ph.D. (místopředseda)
Ing. František Burian, Ph.D. (člen)
Ing. Martin Čala, Ph.D. (člen)
Ing. Václav Kaczmarczyk, Ph.D. (člen)
Ing. Libor Veselý, Ph.D. (člen)
Date of acceptance
2021-06-08
Defence
Student obhájil diplomovou práci s výhradami. V rámci obhajoby dokázal přesvědčit komisi o správnosti svých postupů a navrženého řešení. V průběhu odborné rozpravy reagoval na dotazy
Result of defence
práce byla úspěšně obhájena
Document licence
Standardní licenční smlouva - přístup k plnému textu bez omezení