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⛑️⚒️ Custom object detection for PPE Detection of Construction Site Workers. This repo contains notebook for PPE Detection using YoloV8.

Real-time PPE detection and tracking using YOLO v3 and deep_sort

Real-time PPE detection based on YOLO. Open high-quality dataset.

Enhance workplace safety with real-time detection of Personal Protective Equipment using deep learning and the YOLO algorithm in the 'PPE Detection' project.

PPE_detection module for detecting workers and PPE.

AI-powered computer vision system for real-time workplace safety monitoring. Detects people and PPE compliance (helmets, vests) using YOLO models with intelligent tracking and MP4 output.

End-to-end YOLOv8 PPE detection for construction-site safety. Includes Jupyter training notebooks, pretrained weights, dataset (Roboflow), inference/testing scripts, and a Flask web dashboard for real-time monitoring and compliance reporting.

This is an earmuff detector that uses video streams from CCTV cameras in workplaces to detect whether or not a person in the video is wearing earmuffs.

This project implements object detection using the YOLOv8 model to detect persons and personal protective equipment (PPE), including hard hats, gloves, masks, glasses, boots, vests, PPE-suits, ear protectors, and safety harnesses. The project demonstrates how to convert PascalVOC annotations to YOLO format, train a custom YOLOv8 model.

AI-powered PPE detection system with face recognition and Arduino-controlled access using stepper motor and LEDs.

An AI-powered CCTV surveillance system for real-time detection of PPE compliance, including helmet and mask violations, using YOLO and computer vision.

A real-time PPE detection model using YOLOv8 to identify safety helmets and vests for workplace monitoring.

A Streamlit-based PPE detection system with real-time webcam and video analysis, powered by a custom-trained YOLO model for complete offline privacy.

This project is developed for Venture Base Hackathon 2025.

🦺 PPE Compliance Monitor Pro with Integrated Attendance System - Ultra-fast AI-powered workplace safety monitoring with comprehensive face recognition-based attendance tracking, real-time cancellation, and professional results analysis.

Real-time Personal Protective Equipment (PPE) Detection System for Construction Sites using YOLOv9

PPE detection app using YOLO models from ultralytics fine-tuned on SH17 dataset. Built with FastAPI for REST API, PostgreSQL for database, Streamlit for web app, and Docker for containerization.

YOLO-based computer vision project for real-time detection of helmets and vests (PPE) in video footage using OpenCV and cvzone

An AI-powered CCTV surveillance system for real-time detection of PPE compliance, including helmet and mask violations, using YOLO and computer vision.

PPEs dataset exploratory analysis.

Automotive PPE detection using YOLOv12. Features real-time tracking, violation cropping, and email alerts. Managed by PM2 for dynamic orchestration and self-healing. Integrated with Redis for efficient streaming coordination and shared state. Monitor active CCTV with live annotations via a responsive dashboard.

No description provided.

Detect personal protective equipment like helmets and vests in real-time video streams and webcam feeds.

AI-powered real-time sewer safety monitoring system with PPE detection and risk classification.

This repository provides an AI-driven solution for detecting and segmenting Personal Protective Equipment (PPE) and other essential safety objects on construction sites.

This repository contains code for detecting Personal Protective Equipment (PPE) using YOLOv8 and YOLO-World's Custom Model with Custom Classes. The goal of this project is to identify whether individuals in images are wearing appropriate PPE such as helmets, safety vests, goggles, etc.

PPE Detection | Computer Vision | Sreamlit | YoloV8 | OpenCV | imageio & imageio-ffmpeg

To demonstrate an understanding of cloud applications and software development on AWS cloud platform. The tasks are to design and implement an application to analyze an image to detect Personal Protective Equipment (PPE) using AWS AI Services; AWS Rekognition.

No description provided.