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EdgeCV4Safety: AI-Driven Contextual Safety System for Industry 4.0/5.0

EdgeCV4Safety-Models contains ONNX depth estimation and object detection models. Specifically UniDepth v2 and Depth Anything v2 for depth estimation and YOLO11 for object detecion.

This repo was created to support the main GH repository Edge4CVSafety. This project implements a modular and scalable Computer Vision (CV) system designed to replace traditional physical barriers, enhancing worker safety in industrial settings (Industry 4.0/5.0). The core objective is to achieve contextual control of machinery based on the dynamic state of the surrounding work environment.

The system continuously monitors a defined workspace. Upon the detection of personnel entering this area, appropriate countermeasures are instantly triggered, influencing machinery behavior to prevent hazardous situations. This compartmentalized architecture promotes high modularity and scalability.

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