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.

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.

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

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

YOLO-based PPE detection pipeline for workplace safety image and video analysis.

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.

🦺 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.

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

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.

Safety-first helmet detection — VGG-16 transfer learning in TensorFlow/Keras with threshold analysis tuned for Zero-Harm deployment

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

DEVELOPING AN AI-MACHINE LEARNING TOOL FOR WORKPLACE SAFETY

🛡️ A comprehensive web application built with Next.js for conducting systematic risk evaluations and root cause analysis. Features multi-step forms for project data collection, potential hazard assessment, immediate and basic cause identification, and corrective action planning.

AI-powered shift safety validator that detects dangerous scheduling patterns and suggests safer alternatives based on global labor standards.

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

Kaggle Data Science & Machine Learning: House Prices and Detective Intuition Analysis.

Computer vision and machine learning system for PPE detection, workplace safety monitoring, and risk scoring using YOLOv8.