HeSE adalah Proyek IoT gerbang keselamatan pekerja konstruksi sebelum masuk ke area dengan Algoritma YOLOv5

OSHA-compliant Electrical Safety Training summary and certification covering PPE, arc flash hazards, and protection devices. (2025)

PAPRa - a Powered Air-Purifying Respirator (PAPR)

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

This project focuses on enhancing construction site safety through real-time detection of safety gear such as helmets and vests worn by workers, as well as detecting the presence of a person.

Code samples and step by step guide for detecting events using Amazon Rekognition PPE detection and send them to S/4HANA EHS using Events-to-Business Actions Architecture on SAP BTP.

OOP assignment for UCDF2304 students at APU.

🛠️ PPE Detection on Worksites This project leverages the YOLOv8 model to detect Personal Protective Equipment (PPE) such as helmets, safety vests, and eyewear on worksites using annotated images for training. The model was tested for accuracy and applied to real-time video footage to effectively identify PPE, aiming to enhance workplace safety.

This repository contains the Assurance of Learning (AoL) Case Study by Jonathan for the Computational Physics course (SCIE6063001). The project received a high distinction with a score of 94 (Grade: A).

PPE app registration for mining industry

Ceci est le fichier de projet PPE GSB de Léo Marliére, Alexis Dubus et Benoit Cavrois.

PPE Defragmentation Website for WSHA

Data for particle filtration of a range of masks and filtration media to support research and standards development.

Datasets and statistics code used for "Objective 1" for PhD Thesis

PPE masks detection and tracking😷

A Covid-19 PPE Charity Store where a user can browse a selection of basic PPE items, with the ability to donate items to an organization (Hospital, Outreach group etc). Utilizes Node, Handlebars, Sequelize, Covid-19 data API and other modules and technologies.

This is a project with the aim to ensure safety compliance at construction-sites with the help of Computer Vision and DL technology.

Detect Protective Equipment with AWS DeepLens and Amazon Rekognition.