David Austin is a Sr Principal Engineer at Intel Corp working on AI based solutions for the industrial IoT market. His work focuses on deep learning architecture design, traditional computer vision.
At the EMVA Embedded Vision Europe 19 Conference he was keynote speaker with his presentation on ‘Flexible and Practical AI for Industrial Deployment’.
Industrial AI based solutions often struggle to keep up with the state of the art due to the nature of product development and validation cycles vs the speed at which the AI technology and understanding is advancing. It doesn’t need to be this way. Careful consideration of few important AI and computer vision tools and techniques can give outsized benefits relative to pool of available options. In this talk you’ll get an overview as well as insights into some of the practical techniques that advance KPI’s like accuracy, latency, and cost. You will be able to take learnings straight to practical implementation, especially IIoT implementations in manufacturing.
