tinyML Talks: tinyML Vision Challenge – Himax & Edge Impulse


June 30, 2021



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tinyML Vision Challenge – Himax & Edge Impulse

David SCHWARZ, User Success Engineer

Edge Impulse

The WE-I Plus EVB is the perfect solution for tinyML, computer vision and AI endpoint. It is a versatile board with a low-power monochrome camera, a microphone and an accelerometer. The built-in WE-I Plus ASIC (HX6537-A) combines a Synopsys ARC EM9D DSP running at 400 MHz and 2 MB internal SRAM and 2 MB Flash. This chip is fast – you can classify a single image at 96×96 pixels in just over 100 ms.

Together with Edge Impulse, the WE-I Plus EVB can now quickly collect real-world sensor data, train ML models on this data in the cloud, and then deploy the model back to this powerful Himax hardware.

Join us for a live session, by Edge Impulse’s user success engineer David Schwarz, to learn how to build enterprise-grade embedded machine learning models, using the WE-I Plus EVB.

Add sight to your sensors – build a system that can recognize objects through a camera (image classification)
Build a continuous motion recognition system – build a gesture recognition system
Recognize sounds from audio – recognize when a particular sound is happening (audio classification)
Respond to your voice – recognize audible events, particularly your voice (audio classification).

David SCHWARZ, User Success Engineer

Edge Impulse

David Schwarz is a User Success Engineer at Edge Impulse, helping customers build and deploy products powered by machine learning. He is a University of Texas graduate with previous experience in embedded systems design and applications engineering. He lives in Austin Texas and enjoys reading, swimming, and programming in his spare time.

Schedule subject to change without notice.