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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

ImageRéférence fabricantDescriptionQuantité disponiblePrixAfficher les détails
HUZZAH32 ESP32 FEATHER MALE HDR3591HUZZAH32 ESP32 FEATHER MALE HDR18 - Immédiatement$32.53Afficher les détails
MSA301 TRIPLE AXIS ACCELEROMETER4344MSA301 TRIPLE AXIS ACCELEROMETER0 - ImmédiatementSee Page for PricingAfficher les détails

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Date de publication : 2020-05-29

Edge AI Anomaly Detection Part 3: Deploy Machine Learning Models to Raspberry Pi | DigiKey
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Edge AI Anomaly Detection Part 2: Feature Extraction and Model Training | DigiKey
Edge AI Anomaly Detection Part 2: Feature Extraction and Model Training | DigiKey

Date de publication : 2020-04-24

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