Open AccessDevelopment of Non-Contact Real-Time Monitoring System for Animal Body Temperature
Author(s) -
Kuo-Hsiung Tseng,
Meng-Yun Chung,
Wei-Hong Jhou,
Wen-Huei Chang,
Chen-Han Xie
Publication year - 2022
Publication title -
proceedings of engineering and technology innovation
Language(s) - English
Resource type - Journals
eISSN - 2518-833X
pISSN - 2413-7146
DOI - 10.46604/peti.2022.8870
Subject(s) - infrared , body surface , measure (data warehouse) , computer vision , computer science , tracking (education) , temperature measurement , thermal , artificial intelligence , imaging technology , body contact , thermal infrared , real time computing , biomedical engineering , simulation , remote sensing , optics , materials science , engineering , physics , mathematics , optoelectronics , geography , psychology , data mining , pedagogy , geometry , quantum mechanics , meteorology
Body temperature is an important indicator of health monitoring. However, since animals are covered with fur, it is difficult to obtain their accurate body temperature with the traditional infrared measurement technology. To deal with this problem, this research proposes a non-contact real-time monitoring system using an infrared method combined with object detection. The system is developed based on general infrared thermal imaging technology and an infrared thermal imaging module with an image tracking algorithm. YOLO is used to detect animals, and a thermal imaging camera is used to measure the body surface temperature of animals. The result shows that the proposed system can accurately measure the body temperature of animals without being influenced by animals’ fur. In the future, it can be applied to monitor the body temperature of sick animals in veterinary hospitals.