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

2 Building Blocks of an RGB-IR Vision Pipeline

As demonstrated in [1], the AM62A offers a range of unique features that make the device an excellent choice for building applications that require both RGB and IR image data. The following sections provide details on the relevant components for building RGB-IR image processing pipelines.