Connecting SIYI ZR10 Camera to NVIDIA Jetson Orin Nano for Live Video Processing

Issue Overview

Users are experiencing difficulties integrating the SIYI ZR10 camera with the NVIDIA Jetson Orin Nano for UAV applications, specifically for live video processing and person detection using DeepStream SDK. The main challenges include:

• The ZR10 camera uses an Ethernet port for video output
• Official apps are only available for Windows and macOS
• Uncertainty about Linux/Ubuntu compatibility and driver availability for the Jetson platform
• Lack of clear instructions for configuring and capturing video from the ZR10 on the Jetson Orin Nano

The issue impacts the ability to implement real-time person detection in UAV applications, hindering project development and functionality.

Possible Causes

1. Software Incompatibility: Lack of official Linux support for the SIYI ZR10 camera may lead to integration difficulties.

2. Missing Drivers: Absence of specific Linux drivers for the ZR10 camera on the Jetson platform could prevent proper communication.

3. Configuration Complexity: The camera may require specific network settings or protocols that are not immediately apparent without proper documentation.

4. API Limitations: Limited access to the camera’s control API might restrict full functionality on the Jetson platform.

5. Network Communication Issues: Incorrect IP address, port, or stream mapping could prevent successful video capture.

Troubleshooting Steps, Solutions & Fixes

1. Verify Camera Output

   • Ensure the SIYI ZR10 camera is powered on and properly connected to the network.
   • Confirm that the camera is broadcasting video over RTSP (Real-Time Streaming Protocol).

2. Network Configuration

   • Determine the camera’s IP address, typically in the range of 192.168.144.x.
   • Identify the correct port (default is likely 8554) and video stream mapping (e.g., /video1).

3. Video Capture Using GStreamer

   • Install GStreamer on the Jetson Orin Nano if not already present:

     sudo apt-get update
     sudo apt-get install gstreamer1.0-tools
     

   • Use the following GStreamer pipeline to test video capture:

     IP_ADDRESS=192.168.144.25
     PORT=8554
     MAPPING=/video1
     gst-launch-1.0 playbin uri=rtsp://${IP_ADDRESS}:${PORT}/${MAPPING}
     

   • Adjust the IP_ADDRESS, PORT, and MAPPING variables as needed based on your camera’s configuration.

4. Camera Control and Configuration

   • Investigate the camera’s control interfaces: S.Bus, UART, and UDP/TCP.
   • Develop a custom application to send configuration commands to the camera:
     • Obtain API documentation from SIYI or attempt to reverse-engineer the Windows/macOS apps.
     • Implement UDP/TCP communication in your preferred programming language (e.g., Python, C++) to send control commands.

5. Integration with DeepStream SDK

   • Once video capture is successful, integrate the RTSP stream into your DeepStream pipeline.
   • Modify your existing DeepStream application to use the RTSP source:

     [source0]
     enable=1
     type=5
     uri=rtsp://<IP_ADDRESS>:<PORT>/<MAPPING>
     num-sources=1
     

6. Performance Optimization

   • Monitor system resources (CPU, GPU, memory) during video processing.
   • Adjust DeepStream parameters (e.g., batch size, model precision) to optimize performance on the Jetson Orin Nano.

7. Troubleshooting Network Issues

   • Use network analysis tools like wireshark or tcpdump to verify RTSP traffic.
   • Check firewall settings to ensure RTSP traffic is allowed.

8. Alternative Approaches

   • If direct RTSP capture proves challenging, consider using a network camera API library like OpenCV’s VideoCapture with RTSP support.
   • Explore the possibility of using a USB-to-Ethernet adapter if direct Ethernet communication is problematic.

9. Community and Manufacturer Support

   • Reach out to SIYI support for Linux-specific guidance or API documentation.
   • Engage with the NVIDIA Jetson community forums for platform-specific integration tips.

By following these steps and exploring the suggested solutions, users should be able to successfully integrate the SIYI ZR10 camera with the NVIDIA Jetson Orin Nano for live video processing and person detection applications. Further optimization and refinement may be necessary depending on specific project requirements and performance needs.