Proceedings of the Korean Institute of Building Construction Conference (한국건축시공학회:학술대회논문집)

The Korean Institute of Building Construction (한국건축시공학회)
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Comparison of PPE Wearing Status Using YOLO PPE Detection

YOLO Personal Protective Equipment검출을 이용한 착용여부 판별 비교

  • 한병욱 (군산대학교 건축해양건설융합공학부) ;
  • 김도근 (군산대학교 건축해양건설융합공학부, 시공연구실, 플로리젠로보틱스) ;
  • 장세준 (군산대학교 건축해양건설융합공학부)
  • Published : 2023.05.17
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Abstract

In this paper, we introduce a model for detecting Personal Protective Equipment (PPE) using YOLO (You Only Look Once), an object detection neural network. PPE is used to maintain a safe working environment, and proper use of PPE protects workers' safety and health. However, failure to wear PPE or wearing it improperly can cause serious safety issues. Therefore, a PPE detection system is crucial in industrial settings.

Keywords

Acknowledgement

이 논문은 2023년도 정부(교육부)의 재원으로 한국연구재단 기초연구사업(No. 2022R1C1C1005963)의 지원을 받아 수행된 연구임.