An application for visual inspection written in Python, running on Windows, Linux, and macOS. This software enables high-performance visual inspection even with an inexpensive web camera. No GPU machine required. It is possible to automate the inspection in a factory.
The visual layer of your agent harness. Renders React components and Three.js scenes from source, with structure and evidence behind every frame — so agents can see, verify, and fix what they built.
Production visual anomaly detection from normal images with PaDiM, ultra-light PatchCore, Production Autopilot, ONNX, OpenVINO, and TensorRT INT8 export.
A deep learning based quality control pipeline to detect defective products
Open AOI is designed to handle industrial optical inspection tasks. Simple installation, graphical user interface, customization support and ROS powered performance allow Open AOI to cover wide range of inspection applications.
IBM Maximo Visual Inspection CLI Tools and APIs
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.
Interactive Defect Quantification through Extended Reality
Examples of PEKAT VISION usage
How to create an end-to-end hardware-accelerated industrial inspection pipeline to automate defect detection.
The project focuses on six typical surface defects of steel plate components (cracking, pitting, scratches, patches, inclusions, and oxide scale), and supports four inspection modes: single image, batch, video stream, and online camera
CPU-based AI visual inspection for manufacturing defects: Faster R-CNN + NanoSAM behind a FastAPI backend, React console, and active-learning loop.
Open source tool for visual inspection of sample points in historical series of remote sensing images from Landsat, Sentinel and Planet satellites.
Research Materials for Advanced YOLO-based Object Detection
Surface defect classification for industrial visual inspection using PyTorch and FastAPI.
Automated Visual Inspection System for Musical Instrument Parts using EfficientDet-D1 and MindVision SDK. (Implementasi Skripsi Teknik Robotika & AI).
Vision-based defect detection for industrial quality inspection · IEEE TII
Computer Vision Project developed as course project using OpenCV (Python)
Automated Visual Inspection System using Computer Vision to ensure final product quality and assist in the automated sorting process
Visual Inspection of Motorcycle Connecting rods for the Computer Vision and Image Processing course @unibo
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