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This repository integrates Luxonis cameras with unix based PC and programmable logic controllers (PLCs) using simple REST and websocket APIs. It brings AI-powered analysis directly into manufacturing environment.
This repo contains implementation of semi-supervised defect segmentation based on pairwise similarity map consistency and ensemble-based cross pseudo labels
PyTorch implementation of Vision Transformer (ViT) for automated defect detection in aerospace components. Achieves 94.2% accuracy with <200ms inference latency.
An end-to-end pipeline for automated analysis of bridge structural damage (rebar exposure, cracks, corrosion) using **LLaVA (Large Language and Vision Assistant)**. The system generates expert-level damage descriptions from images and produces structured prioritization scores for repair planning.