Method and device for identifying safe dressing of electric power worker

Abstract

The embodiment of the invention provides a method and a device for identifying safe dressing of an electric power worker. The method comprises the following steps: acquiring a dressing image of the electric power worker; and inputting the dressing image of the electric power worker into a preset dressing identification model to perform detection of the head and the body of the personnel, safety helmet classification identification and tool classification identification, and obtaining a safety helmet identification result and a tool identification result. According to the method and the device for identifying the safe dressing of the electric power worker provided by the embodiment of the invention, a lightweight network MobileNet is adopted as a basic feature extraction network, an optimized SSD target detection algorithm is combined, the head part and the body part of the personnel are preliminarily judged, and then different hierarchical features and different scale splicing features of the network are applied to different classification identification tasks. And the calculated amount is reduced, and meanwhile, the safety dressing classification and identification performance is improved.

Description

technical field [0001] The present invention relates to the field of computer technology, and more specifically, to a method and device for identifying safe attire of electric workers. Background technique [0002] In the daily operation and construction of the electric power industry, out of consideration for the safety of the operators, there are strict requirements on the attire of the relevant operators entering the job site. Operators must wear safety helmets and work clothes correctly before they can enter the construction site. Due to the particularity of the industry, safe attire can protect the personal safety of operators, and video surveillance of operators entering the job site can play a more supervisory role, thereby reducing the safety hazards of operators. [0003] In recent years, with the continuous development of artificial intelligence and computer vision, automatic detection and recognition methods for safe clothing based on video surveillance have been...

AI Technical Summary

Problems solved by technology

Most of the existing technical solutions are based on target detection algorithms such as Faster R-CNN and YOLO, which cannot detect helmets. Such solutions have a single function, and the algorithm has a large amount of calculation and high hardware requirements, so it cannot be applied to edge terminal mobile equipment

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