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ML at the Edge: Visual Intelligence with a Low-Cost MCU

ML at the Edge: Visual Intelligence with a Low-Cost MCU

About This Training

Are you an embedded developer contemplating how to add visual intelligence to your next IoT platform, or a data scientist looking for a practical edge platform to test your custom models in the wild? Developing models for custom applications on constrained compute platforms isn't inherently easy, and with a little extra assistance and guidance, your next commercial solution can be on the market quickly.

Join us and our partners at Au-Zone as we demonstrate the practical steps to go from concept to deployment of MCU-based intelligent vision sensors for your ML application. With a combination of NXP i.MX RT crossover MCUs, eIQ^® Toolkit and Au-Zone's DeepView vision middleware, you can be on the development path in no time.

What You Will Learn

Practical steps deploying visual intelligence with sub $5 Crossover MCUs
Demonstration of how to train an object detection model with a custom dataset and then deploy to an MCU
Using DeepView Vision Middleware and Vision Starter Kit Micro to accelerate development
Real-world applications and limitations of MCU-based vision platforms

Presented by

Anthony Huereca
Senior Systems Engineer, NXP Semiconductors
Sébastien Taylor
VP of Research and Development, Au-Zone

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期間

26 min

言語

英語

スキルレベル

初級編

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Additional Resources

eIQ Machine Learning Software

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