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Process for Developing an MCU-Based Detection and Classification Application


SPEAKERS

Vice President, Research and Development
Available from October 6

This presentation explains development of a detection application on an Arm-based MCU and a real-world use-case starting with data collection, augmentation, and how to avoid overfitting.

We explain the transition from cloud processing to edge, showing model selection and effectively scaling for MCU performance and memory constraints.

We'll explain the setup of an integrated vision pipeline and handling environmental issues. We show how to apply “digital twinning” for visualization in real-time.
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