VideoLibrary

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

ImagenNúmero de pieza del fabricanteDescripciónCantidad disponiblePrecioVer detalles
HUZZAH32 ESP32 FEATHER MALE HDR3591HUZZAH32 ESP32 FEATHER MALE HDR15 - Inmediata$20.95Ver detalles
MSA301 TRIPLE AXIS ACCELEROMETER4344MSA301 TRIPLE AXIS ACCELEROMETER0 - InmediataSee Page for PricingVer detalles

Related Videos

Edge AI Anomaly Detection Part 4: Deploy TinyML Model in Arduino to ESP32 | DigiKey
Edge AI Anomaly Detection Part 4: Deploy TinyML Model in Arduino to ESP32 | DigiKey

Fecha de publicación: 2020-05-29

Edge AI Anomaly Detection Part 3: Deploy Machine Learning Models to Raspberry Pi | DigiKey
Edge AI Anomaly Detection Part 3: Deploy Machine Learning Models to Raspberry Pi | DigiKey

Fecha de publicación: 2020-05-29

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

Fecha de publicación: 2020-04-24

Related Articles and Blogs

How to Use Cloud Storage on the Atmosphere IoT How to save specific values from Atmosphere IoT to the cloud and retrieve that data.
How to Use the Average Element in the Atmosphere IoT Studio Increasing sensor accuracy is possible by averaging the data points to eliminate extreme points. It’s simple with Atmosphere IoT Studio programming blocks.
How to Use the Pi Weather Shield with Atmosphere IoT Studio The Pi Weather Shield is a perfect tool for measuring the world around your project, on the move or not, with Atmosphere IoT Studio stay updated everywhere.