Adding embedded vision into designs requires many decisions to be made in the overall architecture. With the rise of CMOS imaging sensors engineers have to an FPGA or a Processor is right to handle the complex application layer to turn our designs into viable products. In this episode, Todd Baker speaks to Future's own Abhishek Gadgi, Image Sensor Specialist Engineer about machine learning and AI in our applications, what types of vision sensors we should be using and what should constitute the "brains" of our system to maximize it's capabilities.
Learn more about your ad choices. Visit megaphone.fm/adchoices

Ver todos los episodios