MJRoBot (Marcelo Rovai)
Published © GPL3+

TinyML Made Easy: Anomaly Detection & Motion Classification

Exploring Machine Learning on a giant tiny device, the Seeed XIAO BLE. Sense.

IntermediateFull instructions provided4 hours594
TinyML Made Easy: Anomaly Detection & Motion Classification

Things used in this project

Hardware components

XIAO BLE Sense
Seeed Studio XIAO BLE Sense
×1

Software apps and online services

Arduino IDE
Arduino IDE
Edge Impulse Studio
Edge Impulse Studio

Story

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Code

Seeed-XIAO-BLE-Sense

Anomaly Detection & Motion Classification Exploring Machine Learning on a giant tiny device, the Seeed XIAO BLE Sense.

Credits

MJRoBot (Marcelo Rovai)

MJRoBot (Marcelo Rovai)

47 projects • 791 followers
Professor, Engineer, MBA, Master in Data Science. Writes about Electronics with a focus on Physical Computing, IoT, ML, TinyML and Robotics.

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