Detection of different production parts

Anomaly Detection in the discrete manufacturing

USE Case:

Different metal shapes are detected and counted in real-time. In the example good parts, neutral parts and wrong parts are detected.If the wrong part is detected, the conveyor can be stopped at any time via Caberra.


This solution is intended to prevent wrong or faulty parts from being delivered from production. This quality measurement supported by artificial intelligence can directly save costs, due to the reason that reclamations are minimized.

Uniqe Approach:

IoT40 is able to process DXF files (AutoCAD). These files are the basis for the realtime detection.