| Title |
Development of Safety Monitoring System Based on Visual Intelligence Technology |
| Authors |
박명혜(Myung-Hye Park) ; 김영현(Young-Hyun Kim) ; 은창수(Chang-Soo Eun) |
| DOI |
https://doi.org/10.5370/KIEE.2024.73.8.1384 |
| Keywords |
Visual Intelligence; Video Inference; Yolo Algorithm; Worker Safety; CCTV Monitoring System |
| Abstract |
Since the implementation of the Serious Accident Punishment Act, various attempts have been made in the field to prevent safety accidents and respond quickly when accidents occur. In particular, building a safety management operation system that monitors the site in real time using IoT technology is an issue. In this paper, we develop video inference technology using CCTV as a way to prevent worker safety accidents in high-risk industrial sites such as power plants. Based on this, we develop functions to detect worker falls, entry into hazardous areas, and fires in real time. We would like to introduce an intelligent worker safety control system implemented to control field events |