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industrial-inspection

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I have built the computer vision models in 3 different ways addressing different personas, because not all companies will have a resolute data science team. quality-control manufacturing big-data-analytics jupyter-notebook cognitive services industry solutions

  • Updated Sep 12, 2021
  • Jupyter Notebook
AnomaVision

Production-ready visual anomaly detection from normal images, featuring PaDiM, ultra-light PatchCore, automated edge deployment, and optimized ONNX, OpenVINO, TensorRT INT8, Hailo, and KV260 support.

  • Updated Sep 10, 2026
  • Jupyter Notebook

Machine-vision inspection toolkit for .NET on OpenCvSharp — rotation/scale template matching, caliper line & circle finders, blob, WPF teaching controls, vendor-free GigE acquisition

  • Updated Sep 10, 2026
  • C#

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