Abstract
There are more and more newly established substations and transmission lines, contributing to subsequent and reliable power supply and socioeconomic development. Violations are prone to occur on construction sites arousing safety hazards. This paper describes a video-based approach to identifying safety risks on site, building typical security hazards and violations feature libraries, and developing a BP neural network algorithm to identify safety risks. That approach can effectively improve the efficiency of on-site safety inspections on power infrastructure sites and contribute to the compliance of power infrastructure operations.
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