Securade.ai HUB - A generative AI based edge platform for computer vision that connects to existing CCTV cameras and makes them smart.
-
Updated
Jul 15, 2025 - Python
Securade.ai HUB - A generative AI based edge platform for computer vision that connects to existing CCTV cameras and makes them smart.
Real-time PPE detection and tracking using YOLO v3 and deep_sort
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
Detect personal protective equipment like helmets and vests in real-time video streams and webcam feeds.
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.
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.
Detect Protective Equipment with AWS DeepLens and Amazon Rekognition.
This is a computer vision project that uses YOLOv9-e model and checks if workers wear their Personal Protective Equipment (PPE) and if they keep a safe distance from work machines.
Add a description, image, and links to the ppe-detection topic page so that developers can more easily learn about it.
To associate your repository with the ppe-detection topic, visit your repo's landing page and select "manage topics."