workplace-safety

Intunebaselines by Wolkenman.nl

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.

A curated list of HSE (Health, Safety & Environment) software, regulations, datasets, tools, books, training and resources. Curated by SmartQHSE.

AI-powered real-time PPE detection system using YOLOv8, FaceNet, and DeepSORT. Monitors safety compliance through live webcam feeds and video analysis, tracks individual workers, and provides instant alerts for missing protective equipment. Built with FastAPI, React, and PostgreSQL.

An MLOps pipeline for real-time industrial safety detection using YOLOv8, achieving 88.90% mAP_50 accuracy. Automates data ingestion, validation, and evaluation with MLflow, and integrates CI/CD for deployment on AWS using Docker, ensuring scalability, efficient updates, and robust safety compliance.

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

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

🦺 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.

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

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

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

Computer vision classification system for detecting safety helmet compliance in industrial and construction environments.

Desenvolvimento de um Sistema de detecção de EPIs (PPE) utilizando YOLO para identificação automática de equipamentos de segurança em imagens.

AI safety-incident copilot: FastAPI + Redis Streams + Postgres pipeline with a DistilBERT severity model (trained on 273k real accident reports) and YOLOv8 PPE detection, triaged by a LangGraph agent. Deployed live on Cloud Run, Neon, Upstash, and Streamlit Cloud.

AI-powered workplace safety monitoring system that detects PPE compliance and unauthorized restricted-area entry using computer vision for real-time industrial safety.

AI-powered POSH workplace safety bot for Microsoft Teams. Empathetic complaint intake, auto-escalation dead man switch, 90-day inquiry monitoring. POSH Act 2013 + DPDPA 2023 compliant.

EHS Audit Services guide by Visible Safety covering ISO 14001, ISO 45001, fire safety audit, and workplace safety compliance.

Automated Rapid Upper Limb Assessment using mediapipe

SGS: SaaS multi-tenant para gestao de SST, seguranca do trabalho, documentos governados e operacao enterprise.

Real-time worker safety monitoring system leveraging AI and computer vision to detect PPE violations and prevent workplace hazards.