Vision Sensor “on the Edge” with Amazon Web Services

How can you develop an embedded vision sensor that detects and flawlessly 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. All you need for this is a Basler dart USB Evaluation Kit, an AAEON UP Board, Amazon Web Services and enough images for system learning.

Components used:

• Basler dart USB Evaluation Kit incl. daA2500-14uc camera module
• AAEON UP Board
• Amazon Web Services