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SafeGear - Construction Site Monitoring System

Project Overview

SafeGear is an AI-powered construction site monitoring system designed to ensure workers comply with safety equipment requirements. By utilizing computer vision, the system significantly enhances workplace safety and ensures adherence to safety protocols.

Key Features

  • Safety Gear Detection: Implemented YOLO (You Only Look Once) to detect safety equipment construction workers wear.
  • Backend Integration: Developed a Flask-based backend to manage data processing.
  • Frontend: Built with Bootstrap for responsive design and enhanced user interface.
  • Data Storage: Utilized MySQL for efficient data storage and management.
  • Real-Time Monitoring: Monitors real-time compliance, ensuring quick response to safety violations.

Technologies Used

  • Computer Vision: YOLO (You Only Look Once)
  • Backend Framework: Flask
  • Frontend: Bootstrap, HTML, CSS
  • Database: MySQL
  • Programming Language: Python

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AI-powered construction site monitoring system using computer vision to ensure worker safety and compliance.

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