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Edge AI Anomaly Detection Part 1: Data Collection | DigiKey

In this tutorial series, Shawn builds an artificial intelligence on the edge (Edge AI) project from beginning to end by collecting data, performing feature extraction, training several machine learning models, and deploying to an edge device (single board computer, microcontroller). Such an anomaly detection system could be useful for predicting faults in equipment as part of an Industrial Internet of Things (IIoT) ecosystem.

View Edge AI Anomaly Detection Part 1: Data Collection Blog
4/24/2020 4:29:50 PM

Part List

ImageManufacturer Part NumberDescriptionAvailable QuantityPriceView Details
HUZZAH32 ESP32 FEATHER MALE HDR3591HUZZAH32 ESP32 FEATHER MALE HDR175 - Immediate$18.09View Details
MSA301 TRIPLE AXIS ACCELEROMETER4344MSA301 TRIPLE AXIS ACCELEROMETER0 - ImmediateSee Page for PricingView Details

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Edge AI Anomaly Detection Part 2: Feature Extraction and Model Training | DigiKey
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