Detecting the Use of Safety Helmets on Construction Sites
摘要
Occupational safety in construction sites is a vital topic due to the inherent risks associated with this type of work environment. This research provides a practical and effective solution to monitor compliance with safety standards. Therefore, it helps improve safety and minimize risks associated with not wearing safety helmets, such as head injuries and fatalities. The system is non-intrusive and can be easily integrated into existing surveillance systems. Moreover, it provides notifications to the administrator in case of non-compliance to enforce safety regulations. During the evaluation process, a set of video sequences recorded in real-world scenarios was used. The results obtained, mainly with the nano model, show that the system achieved a high level of precision with a score of 0.93, as well as an acceptable recall of 0.62. Regarding the F1 score, it has a score of 0.81.