SPRADH2A February   2024  – November 2024 AM62A3 , AM62A3-Q1 , AM62A7 , AM62A7-Q1 , AM62P , AM62P-Q1 , DS90UB953A-Q1 , DS90UB960-Q1 , TDES960 , TSER953

 

  1.   1
  2.   Abstract
  3.   Trademarks
  4. 1Introduction
  5. 2Connecting Multiple CSI-2 Cameras to the SoC
    1. 2.1 CSI-2 Aggregator Using SerDes
    2. 2.2 CSI-2 Aggregator without Using SerDes
    3. 2.3 Supported Camera Data Throughput
  6. 3Enabling Multiple Cameras in Software
    1. 3.1 Camera Subsystem Software Architecture
    2. 3.2 Image Pipeline Software Architecture
  7. 4Reference Design
    1. 4.1 Supported Cameras
    2. 4.2 Setting up Four IMX219 Cameras
    3. 4.3 Configuring Cameras and CSI-2 RX Interface
    4. 4.4 Streaming from Four Cameras
      1. 4.4.1 Streaming Camera Data to Display
      2. 4.4.2 Streaming Camera Data through Ethernet
      3. 4.4.3 Storing Camera Data to Files
    5. 4.5 Multicamera Deep Learning Inference
      1. 4.5.1 Model Selection
      2. 4.5.2 Pipeline Setup
  8. 5Performance Analysis
  9. 6Summary
  10. 7References
  11. 8Revision History

6 Summary

This application note describes how to implement multi-camera applications on the AM6x family of devices. A reference design based on the V3Link Camera Solution Kit and AM62A SK EVM of Arducam is provided in the document, with several camera applications using four IMX219 cameras such as streaming and object detection. Users are encouraged to acquire the V3Link Camera Solution Kit from Arducam and replicate these examples. The report also provides detailed analysis of the performance of AM62A while using four cameras under various configuration including displaying to a screen, streaming over Ethernet, and recording to files. This also shows AM62A capability of performing deep learning inference on four separate camera streams in parallel. If there are any questions about running these examples, then submit an inquiry at the TI E2E forum.