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Yolov8n Protective Equipment Detection
An object detection model based on YOLOv8n, specifically designed for detecting the use of personal protective equipment.
Downloads 166
Release Time : 1/29/2023
Model Overview
This model can detect whether personnel in images or videos are wearing safety protective equipment, including gloves, goggles, helmets, masks, and shoes, while also identifying cases of non-compliance. Suitable for industrial safety monitoring, construction site safety inspections, and similar scenarios.
Model Features
Multi-category Detection
Capable of detecting 10 different states of protective equipment simultaneously, including both worn and unworn conditions.
Lightweight Model
Based on the YOLOv8n architecture, it maintains high detection accuracy while offering fast inference speeds.
Industrial Safety Application
Optimized specifically for industrial safety scenarios, effectively identifying the use of protective equipment in workplaces.
Model Capabilities
Image Object Detection
Real-time Monitoring Analysis
Safety Compliance Checks
Use Cases
Industrial Safety
Construction Site Safety Monitoring
Automatically detects whether workers are wearing necessary safety equipment.
Reduces safety incidents caused by improper equipment usage.
Factory Safety Inspection
Real-time monitoring of protective equipment usage by production line employees.
Ensures compliance with safety regulations.
Medical Protection
Medical Protection Compliance Check
Detects whether medical staff are wearing protective equipment such as masks and gloves.
Reduces the risk of cross-infection.
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