Використання систем комп’ютерного зору для контролю дотримання техніки безпеки на підприємстві

Abstract

This work examines the use of computer vision systems for monitoring compliance with safety regulations at industrial enterprises. The study focuses on deep learning algorithms for automatic analysis of video surveillance data. Particular attention is given to object detection algorithms that enable real-time detection of workers and personal protective equipment. A comparative analysis of their performance and accuracy is presented. The results highlight the potential of computer vision technologies for improving workplace safety monitoring.