Design and Implementation of An Android-based Safety Helmet Detection System
Traditional methods for monitoring safety helmet usage are inefficient and lack thoroughness.This paper introduces a drone-based safety helmet detection system on the Android platform using the YOLOv4 algorithm.The system can connect to and control drones,detect helmets,issue alerts,and store data.It uses drones or local cameras to detect workers without helmets and sends alerts accordingly.
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