Automatic Mobile Warning System against People with Elevated Body Temperature
| Autor: | Sławomir Wilczyński, Mariusz Marzec |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Technology
Computer science QH301-705.5 QC1-999 Field of view 02 engineering and technology 01 natural sciences computer vision object detection and localization Position (vector) 0202 electrical engineering electronic engineering information engineering General Materials Science Computer vision Android (operating system) Biology (General) thermovision image segmentation Instrumentation QD1-999 Fluid Flow and Transfer Processes Warning system Standard test image Human head business.industry Process Chemistry and Technology Physics 010401 analytical chemistry General Engineering Ranging Engineering (General). Civil engineering (General) 0104 chemical sciences Computer Science Applications Chemistry machine learning 020201 artificial intelligence & image processing Artificial intelligence TA1-2040 business Mobile device |
| Zdroj: | Applied Sciences Volume 11 Issue 11 Applied Sciences, Vol 11, Iss 4721, p 4721 (2021) |
| ISSN: | 2076-3417 |
| DOI: | 10.3390/app11114721 |
| Popis: | The paper proposes a system that allows for the automatic detection of people with elevated body temperature and estimates distance from them using a smartphone-type device and a single mobile thermal camera. The algorithm automatically finds and selects humans with the highest temperature, and tracks changes in their position in an image sequence. On the basis of the change in the position of the human head in the image, in subsequent frames, the algorithm estimates the distance between camera and human. Owing to the use of fast machine-learning methods, the proposed system can immediately alert the user about the presence of a people with an elevated temperature at a distance of 1–3 m as soon as it appears in the field of view of the camera. The effectiveness of the algorithm was assessed as the ratio of correct distance classifications in the test image set to the total number of test images. Values ranging from 73% to 100% were obtained for over 4000 images of humans at different distances. The proposed method allows for the quick and completely automatic warning aboutt people with elevated temperature, and can be used in popular Android mobile devices. |
| Databáze: | OpenAIRE |
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