Advanced Anomaly Detection Made Easy

This talk demonstrates how to use Edge Impulse to build anomaly-detection models for sensor data on constrained embedded devices. It covers custom DSP blocks, feature extraction and importance, threshold tuning, model testing, and deployment options.

Syllabus

Introduction
What is Edge Impulse
Advanced Anomaly Detection
Features with DSP Blocks
Advanced Anomaly Detection Use Cases
Additional Resources
Questions
Blog
Project Dashboard
Adding Data
Impulse Design
Feature Explorer
Neural Network Classifier
Calculating Feature Importance
Live Classification
Anomaly Explorer
EON Tuner
EON Tuner Demo
Model Testing Demo
Deployment Options
Versioning
Importing CSV
Cloud Application
Feature Not Important
Digital Signal Processing
Anomaly Detection
Performance Metrics
Proof of Concept
Will it change
Why add a DSP block
The DSP dashboard
Other features
Other feature outputs
Paid vs free version
Whats next
Strategic Partners