PPE Detection System

Project Overview

Developed an advanced AI-powered Personal Protective Equipment (PPE) detection system that revolutionizes workplace safety monitoring on construction sites. The system uses computer vision and deep learning to automatically detect whether workers are wearing required safety equipment including hard hats, safety vests, gloves, and safety boots in real-time.

The Challenge

Construction sites face significant challenges in maintaining consistent safety compliance. Manual monitoring is time-consuming, prone to human error, and cannot provide real-time alerts. The client needed an automated solution that could monitor multiple camera feeds simultaneously, detect PPE violations instantly, and generate comprehensive safety reports.

• Real-time processing of multiple high-resolution camera feeds
• Accurate detection in varying lighting conditions and weather
• Distinguishing between different types of PPE equipment
• Minimizing false positives while maintaining high accuracy
• Integration with existing security camera infrastructure

Our Solution

We developed a comprehensive AI solution using state-of-the-art computer vision algorithms and deep learning models. The system processes video feeds in real-time, detecting and classifying PPE equipment with 95% accuracy. It features an intuitive dashboard for monitoring, automated alert systems, and detailed analytics for safety managers.

Implementation Process