Securade.ai HUB - A generative AI based edge platform for computer vision that connects to existing CCTV cameras and makes them smart.

⛑️⚒️ 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.

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.

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

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

PPEs dataset exploratory analysis.

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

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.

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

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

🦺 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.

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

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.

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.

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

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