基于安卓平台的安全帽检测系统设计与应用

Design and Implementation of An Android-based Safety HelmetDetection System

传统安全帽佩戴与否的监管方式,存在效率低、难以全面巡检等问题。为此本文基于安卓系统利用无人机与YOLOv4算法设计了一套航拍安全帽检测系统。该系统具备链接与控制无人机功能、安全帽检测功能、警报功能、信息储存功能。通过各模块的协同工作实现通过航拍安全帽自动检测系统控制无人机或者本地摄像头进行安全帽检测任务,并对未佩戴安全帽的工人进行警报与信息储存。

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.