Intrusion Detection Technology of Electronic Fence Based on YOLOv5 Algorithm
In order to effectively upgrade the production safety protection and supervision measures in the steel plant workshop,this paper proposes an electronic fence intrusion detection technology based on the YOLOv5 deep learning al-gorithm.This technology collects and trains pedestrian datasets,sets the key areas as electronic fence detection areas,and performs real-time detection on target personnel,issuing alarms when personnel enter the fence.The results show that this technology has high accuracy and real-time judgment for whether there is personnel intrusion,and can effectively strength-en the security measures in the workshop.
deep learningYOLOv5intelligent securityelectronic fence
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