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.

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.

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.

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.

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

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 Intelligent Safety Surveillance System

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

AI-powered workplace safety monitoring system using YOLOv8 and OpenCV for real-time PPE detection.

This project is developed for Venture Base Hackathon 2025.

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

Watch Out — AI-assisted workplace safety monitoring project by AREA-42.

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.

AI-powered Workplace Safety Monitoring System using Python, OpenCV, YOLOv8, and Tkinter for real-time Person, PPE, Mobile, and Weapon Detection.