Securade.ai HUB - A generative AI based edge platform for computer vision that connects to existing CCTV cameras and makes them smart.
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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.
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 AI-powered CCTV surveillance system for real-time detection of PPE compliance, including helmet and mask violations, using YOLO and computer vision.
NLP based Industrial Accident Severity Assessment
An advanced real-time object detection and tracking system for industrial safety.
Problem Statement : Aerial Location of Hazardous Atmosphere in Industries (Ministry of Home Affairs).
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
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.
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.
AI-based industrial hazard detection and prevention system using machine learning and computer vision (sanitized academic version)
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.
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.
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