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

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

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.

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.

An automatic surveillance system for PPE compliance detection using Streamlit

PPEs dataset exploratory analysis.

Using Amazon Rekognition to detect Personal Protection Equipment(PPE) in photos

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.

Detect Protective Equipment with AWS DeepLens and Amazon Rekognition.

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.