Computer vision, and the algorithms that come with it, can have a huge impact on productivity. But it also significantly increases the amount of data that must be transmitted, processed, and analyzed. In this session, we will look at all the options, from system configuration, to the processing elements that are needed, to how the analysis should be handled, including how and when to act on those outcomes.
This session is part of our “An Engineer’s Guide to AI Integration” webinar series. Registration/event page here.
Alec Schott is a marketing lead in TI’s Processors business focusing on edge AI and vision markets & factory automation end equipment. Alec graduated from Texas Tech University with a degree in Computer Engineering. He has spent 7 years at TI...
Jeff Durst is a Senior Product Manager, Healthcare, Life Sciences & Industrial at Dedicated Computing. He joined the company in 2011. Durst is responsible for ensuring that the product roadmap aligns with the company’s vision, as well as the...