SPRADP7A February   2025  – March 2025 AM62A3 , AM62A3-Q1 , AM62A7 , AM62A7-Q1 , AM67A , TDA4AEN-Q1

 

  1.   1
  2.   Abstract
  3.   Trademarks
  4. 1Introduction
  5. 2Building Blocks of an RGB-IR Vision Pipeline
    1. 2.1 CSI Receiver
    2. 2.2 Image Signal Processor
    3. 2.3 Video Processing Unit
    4. 2.4 TI Deep Learning Acceleration
    5. 2.5 GStreamer and TIOVX Frameworks
  6. 3Performance Considerations and Benchmarking Tools
  7. 4Reference Design
    1. 4.1 Camera Module
    2. 4.2 Sensor Driver
    3. 4.3 CSI-2 Rx Driver
    4. 4.4 Image Processing
    5. 4.5 Deep Learning for Driver and Occupancy Monitoring
    6. 4.6 Reference Code and Applications
  8. 5Application Examples and Benchmarking
    1. 5.1 Application 1: Single-stream Capture and Visualization with GST
    2. 5.2 Application 2: Dual-stream Capture and Visualization with GST and TIOVX Frameworks
    3. 5.3 Application 3: Representative OMS-DMS + Video Telephony Pipeline in GStreamer
  9. 6Summary
  10. 7References
  11. 8Revision History

6 Summary

This application note describes, implements, and benchmarks a reference design for driver and occupancy monitoring systems using RGB-IR image sensors with the AM62A processor. An OX05B1S camera module is used to create RGB and Infrared vision processing pipelines that leverage hardware accelerates on AM62A for this 5 Megapixel use case. We explore the fundamental components of a representative OMS/DMS pipeline and measure utilization and latency across said pipelines in GStreamer and TI OpenVX.