Securade.ai HUB - A generative AI based edge platform for computer vision that connects to existing CCTV cameras and makes them smart.

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.

AI-powered safety monitoring system for industrial sites, detecting PPE compliance and unauthorized access in real-time with facial and object recognition.

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

An advanced real-time object detection and tracking system for industrial safety.

NLP based Industrial Accident Severity Assessment

Problem Statement : Aerial Location of Hazardous Atmosphere in Industries (Ministry of Home Affairs).

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 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.

Real-time Personal Protective Equipment (PPE) detection system using YOLOv8 and OpenCV. Features a Streamlit Dashboard for live monitoring and automated compliance reporting. Optimized for high-FPS inference on CPU.

Autonomous AI Agent built with Hugging Face SmolAgents and VLMs (Vision Language Models). Capable of analyzing industrial video feeds for safety compliance and logging violations via tool calling.

App para riesgos (Fine–Kinney) desde foto: tabla, CSV y JSON

AI-Driven Industrial Safety: Real-time YOLOv8 PPE detection system featuring asynchronous email alerts, incident evidence capture, and live analytics dashboard.

CEH-Flow-Perception: real-time field-driven perception, conductance memory, and physical obstacle avoidance for robots, autonomous systems, and industrial safety.

AI-based industrial hazard detection and prevention system using machine learning and computer vision (sanitized academic version)

Real-time industrial safety monitoring with YOLO, tracking, PPE rules, danger-zone alerts, FastAPI, Docker, training/evaluation and benchmarks.

An AI-powered smart glove that detects toxic gas, high temperature, fall types, and overloads in industrial environments, sending real-time alerts and logging data for machine learning-based safety analysis.

Aplicación web para detectar el uso de casco de seguridad (PPE) en imágenes/video en tiempo real usando visión por computadora y deep learning.