Adding embedded vision into designs requires many decisions to be made in the overall architecture. 

With the rise of CMOS imaging sensors, engineers require an FPGA or a Processor that is right to handle the complex application layer to turn our designs into viable products.

In this episode, Todd Baker speaks to Future Electronics’ very own Abhishek Gadgi, Image Sensor Specialist Engineer, about machine learning and AI in our applications. The two talk about what types of vision sensors we should be using and what should constitute the “brains” of our system to maximize its capabilities.