YOLO Model Detection

Ajaya Subedi 1 min read

This project implements a robust real-time system for detecting Construction Personal Protective Equipment (PPE)—specifically hard hats and safety vests—using the advanced YOLO v12 object detection model. The goal is to enhance workplace safety through automated compliance monitoring.

A comprehensive dataset was curated from diverse industrial environments to train the model, focusing on variability, occlusion, and both compliant and non-compliant scenarios. YOLO v12's speed and accuracy make it ideal for live video analysis, providing instant detection and valuable insights for proactive safety management.

Model Detections & Dataset Example

YOLO v12 Detection Example 1
Input Image
YOLO v12 Detection Example 2
Detected Hard Hat & Vest (Output)

The system's real-time capabilities and high accuracy promise significant improvements in occupational safety, providing immediate alerts for non-compliance and valuable data for safety trend analysis.

Access Project Resources:
1. Inputs and YOLO Model