How do I develop an embedded vision sensor that detects and unequivocally classifies objects? We have compiled a use case for you with a simple example that shows how you can prepare a Convolutional Neural Network (CNN) for the detection and classification of objects with the help of a deep learning framework and then use this on an embedded device – and all this with only the support of the following components:
The Basler dart daA2500-14uc camera module used here is available not just as an individual camera but also as a dart USB Evaluation Kit , in which the required camera accessories such as lens and USB cable are already included. All you need to do is connect the camera module to a processing board, then you can start programming your embedded vision solution.
