Deep neural networks can be trained to recognize complex patterns and microscopic material defects in order to identify and isolate damaged products.
The knowledge gained from the analysis of product quality can also be used to draw conclusions about the current state of production machines and processes. Artificial intelligence therefore not only ensures the high quality of your products but also that wear and tear and malfunctions of the machines are detected during operation. In this way, it is possible to react in real time to quality losses in order to minimize breakdowns and rejects.
In order to utilize the full potential of AI technology and to be able to react immediately to the collected data, real-time data processing on AI hardware is useful. Wahtari offers 100% AI edge solutions, so that your data does not leave your company network.