Jumpstart Your Edge AI Vision Application with New Development Kits from Avnet


Date:  Wednesday, May 18 (Main Conference Day 2)

Start Time: 11:25 am

End Time: 11:55 am

Choosing the right processing solution for your embedded vision application can make or break your next development effort. This session introduces three next-generation embedded vision platforms from Avnet that enable camera-based AI at the edge, featuring the latest edge AI technical advances in processors from NXP, Renesas and Xilinx. We will discuss the strengths and distinctive features of each solution, highlighting the applications each solution is best optimized for. We will also explore the new family of production-ready camera modules featured with these kits and provide guidance on selecting the appropriate camera features for your embedded application.

Track

Session Speakers

  • At Avnet, Monica Houston works on enabling machine learning on Avnet’s various platforms. Her present activities include optimizing and benchmarking machine vision at the edge. An avid maker and tinkerer, Monica also founded the Seattle Arduino Meetup and was employee #2 at Hackster.io. She has dabbled in a wide range of technologies, from web development to 3D printing, but she’s most captivated by artificial intelligence and machine learning. She currently attends the University of Washington for her master’s degree in Computer Science and Engineering.


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Jumpstart Your Edge AI Vision Application with New Development Kits from Avnet