5.3. Application Demos

• 5.3.1. Dual Camera
• 5.3.2. Video Analytics
• 5.3.3. Barcode Reader
• 5.3.4. Qt5 Thermostat HMI Demo
• 5.3.5. Optical Flow with OpenVX
  • 5.3.5.1. OpenVX Example Block Diagram
  • 5.3.5.2. Run OpenVx Tutorial Example
• 5.3.6. ROS and Radar
  • 5.3.6.1. Introduction
  • 5.3.6.2. HW Setup
  • 5.3.6.3. ROS configuration verification
  • 5.3.6.4. ROS between distributed nodes (Sitara and Ubuntu Linux box)
  • 5.3.6.5. mmWave ROS node on Sitara and RViz on Ubuntu Linux box
  • 5.3.6.6. Sense and Avoid Demo with mmWave and Sitara
• 5.3.7. Predictive Maintenance Demo
  • 5.3.7.1. Introduction
  • 5.3.7.2. Anomaly detection system model with RNN
  • 5.3.7.3. Workflow for developing the PdM demo
    • 5.3.7.3.1. Sensor data acquisition
    • 5.3.7.3.2. Sensor data pre-processing
    • 5.3.7.3.3. Offline training to establish the model
    • 5.3.7.3.4. Deploy and integration
  • 5.3.7.4. Deliverables from Processor SDK Linux
    • 5.3.7.4.1. Out of box demo with with pre-recorded sensor data
    • 5.3.7.4.2. Support rebuilding the demo from top-level Makefile
    • 5.3.7.4.3. ONNX model conversion tool
  • 5.3.7.5. Benchmarking for anomaly detection with RNN
• 5.3.8. PRU-ADC Demo
  • 5.3.8.1. Introduction
  • 5.3.8.2. Hardware Needed
  • 5.3.8.3. Steps to Run the Demo
• 5.3.9. Video Graphics Test
  • 5.3.9.1. Introduction
  • 5.3.9.2. GC320 Usage for Rotation, Composition, Overlaying and Alpha-Blending
  • 5.3.9.3. Application Description
  • 5.3.9.4. eglfs-kms QPA User Exposed APIs
  • 5.3.9.5. Running the Test
• 5.3.10. Watchdog Demo on AM654x PG 1.0
  • 5.3.10.1. Introduction
  • 5.3.10.2. Running the Demo
• 5.3.11. DLP 3D Scanner
• 5.3.12. People Tracking
• 5.3.13. EVSE Demos
• 5.3.14. Protection Relay Demo
• 5.3.15. mmWave Gesture Controlled HMI
• 5.3.16. TIDL Demo
• 5.3.17. Arm NN Classification Demo