Abstract
In the context of the rapid development of the construction industry, safety issues on construction sites are becoming increasingly relevant. According to various sources 60 to 80% of accidents at construction sites are related to safety violations. This is due to the challenging working conditions, the high degree of interaction with heavy machinery and the shortcomings of existing control methods, which largely rely on human factors. In response to these challenges, the project proposes the development ofan intelligent monitoring system for construction sites using artificial intelligence (AI) and computer vision technologies. The primary function of the system is the automatic detection of safety violations, including the absence of personal protective equipment (helmets, vests, goggles, etc.), as well as facial recognition for employee identification and access control. Additionally, the system will incorporate alcohol level monitoring for workers before they are permitted to begin their shifts. The implementation of this system is expected to provide continuous and objective monitoring of safety compliance, minimize the impact of the human factor, increase the responsiveness to incidents, and ultimately lead to a significant reduction in injuries and accidents. This interdisciplinary development integrates advancements in AI, construction technologies, and safety management. The system's deployment will also promote the digitalization of the construction industry, enhance its competitiveness, and establish a scientific and technological foundation for further research and innovative solutions in the field of industrial safety.