AI Examples

Table of Contents

• Introduction
  • Classification Examples
  • Regression Examples
  • Forecasting Examples
  • Anomaly Detection Examples
  • Data Capture and Live Preview Examples

Introduction

This section contains AI/Machine Learning example applications demonstrating edge AI capabilities on AM26x devices using TI's feature extraction library and TVM-compiled neural network models.

These examples cover various use cases including:

• Classification: Detecting and categorizing signals into discrete classes
• Regression: Predicting continuous values from sensor data
• Forecasting: Predicting future values based on historical time series
• Anomaly Detection: Identifying abnormal patterns in sensor data
• Data Capture: Collecting sensor data for model training with Edge AI Studio

Classification Examples

1. Generic Timeseries Classification
2. Motor Fault Detection
3. Arc Fault Detection
4. Blower Imbalance Detection

Regression Examples

1. Generic Timeseries Regression
2. Torque Measurement
3. Washing Machine Load Weighing

Forecasting Examples

1. Generic Timeseries Forecasting
2. HVAC Indoor Temperature Forecasting
3. PMSM Rotor Temperature Forecasting

Anomaly Detection Examples

1. Generic Timeseries Anomaly Detection
2. Fan Blade Anomaly Detection

Data Capture and Live Preview Examples

1. Temperature Sensor Data Capture
2. DAP Default