Deep Learning is becoming increasingly prevalent in image processing. In conjunction with Time-of-Flight (ToF) 3D sensor technology, higher recognition performance can be achieved compared to pure RGB images. The multi-ToF platform, which connects various sensors to a powerful hub, is the foundation for future AI camera solutions.
In industrial applications today we use solely “weak artificial intelligence”. Weak artificial intelligence systems are limited to solving specific problems. Weak AI obtains all the knowledge from the training data. There are 2 phases in its lifecycle: the training phase and the application phase. Since both phases are separate, a weak AI does not learn during the application phase. As a result, on the one hand, systems with guaranteed quality can be operated securely, but they have to be retrained if new objects are added or if they change significantly over time.