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Case studies / AI vision quality-control software

AI vision quality-control software

Industrial automation

Input
Camera images
Analysis
Deep-learning inspection
Runs on
Edge devices with their own operating system
Period
2022–present
  1. InputCamera imagesThe input for computer vision
  2. AnalysisDeep-learning inspectionInspection software
  3. Runs onEdge devicesWith their own operating system

Outcome summary

We built inspection software that checks products from camera images with deep learning, and the operating system for the edge devices it runs on.

The system

  • Input: camera images of the product.
  • Analysis: complete quality-control software based on deep learning and computer vision, built in 2022.
  • Runs on: edge devices with an operating system we built for them, also in 2022.

Implementation

The software and the edge operating system were built in 2022.

After launch

We have kept maintaining and developing the software since 2023, and the work is still going on.

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