Machine Learning using Siemens TM NPU, part 1.12 – TM NPU within the high-rack system of the AutFab

This video is part of an introductory series about how to implement Machine Learning in an automation facility by using the technology module TM NPU by Siemens. The overall objective of this project was to use the TM NPU from Siemens on both, the AutFab and the sorting plant. It includes the generation of a trained neural network to detect errors that were occurring in the machine during the real-time environment.
In this video, the execution of the neural network, running on the TM NPU, for error detection in the AutFab of the University of Applied Sciences Darmstadt on a real-time environment will be demonstrated.
This video has been created by a team project during the summer term 2019 for the master course Electrical Engineering and Information Technology M.Sc. of the University of Applied Sciences Darmstadt.