with Edge Impulse and the Eta Compute AI Vision Board
In this webinar we will walk you through using Edge Impulse to deploy ultra low power computer vision applications at the edge with the Eta Compute AI Vision board.
You'll learn how to leverage the Edge Impulse Studio for managing the entire embedded machine learning pipeline, and deploy image algorithms on the battery operated AI Vision board from Eta Compute, featuring the ECM3532 ultra low power neural sensor processor.
Run your model on the AI Vision board from a coin cell battery and send image classification results over a BLE link.
User Success Engineer, Edge Impulse
Aurelien Lequertier leads the User Success Engineering team at Edge Impulse. He lives in Paris and is a lifetime beginner surfer.
Senior Director Product Marketing and Applications, Eta Compute
Semir Haddad is Senior Director Product and Technical Marketing for Eta Compute, the company that brings always-on machine intelligence and AI to the most power-constrained applications. Mr. Haddad brings more than 20 years of experience in product strategy, technology and marketing to the team. Prior to Eta Compute he worked at Renesas Electronics Corporation for and ST Microelectronics. Mr. Haddad holds four patents, has published numerous papers, and presents regularly at global industry events. He earned a master’s degree in from CentraleSupelec and his MBA from ESSEC Business School.
About the Hardware
ECM3532 AI Vision Board
The ECM3532 AI Vision Board is a small, integrated board that is able to run for months on a single CR2032 battery and is suited for accelerating prototyping of machine vision at the edge.
1.5 x1.5-inch board with sensors
1 x Camera: Himax HM0360
1 x ALS (Ti OPT3001)
1 x Microphones (TDK ICS-41350)
1 x Accel/Gyro (TDK ICM-42688-P)
Bluetooth on board from ABOV
Extension for other types of RF
The ECM3532 AI Vision Board is 50% off for a limited time only.