Unlike standard vision industrial cameras, AI or inference cameras belong to the device class of “embedded vision systems.” This presents manufacturers with completely new challenges. The task of implementing the power and resource hungry technology of neural networks efficiently and sustainably in small edge devices naturally is a major challenge. Another at least equally important part is how customers can work with devices and create their own applications with them.
Vision devices are ubiquitous now, and they no longer only use rules-based image processing; they work with machine learning algorithms. By shifting image processing and the generation of results to the edge device itself, the approach and handling of image processing tasks changes greatly.