Object recognition is a method that is used to identify objects.
Objects are identified using optical, acoustic or physical recognition processes.
Object recognition is particularly helpful in complicated production processes. Here, objects are compared by their shape or position and can thus be quickly assigned. This simplifies complex processes and leads to quick success in troubleshooting, for example.
Through machine learning or deep learning, objects can be easily differentiated, allowing a clear classification of objects.
In the field of machine learning it is first necessary to define important features in order to be able to differentiate objects.
This differs from Deep Learning, which can work without prior definitions. Here, prior training classifies features that can subsequently be applied to the process.