In today’s rapidly evolving smart vision technology, the processing and transmission of multi-channel camera data have become core requirements in numerous application scenarios. From comprehensive coverage in intelligent security monitoring to precise detection in industrial vision processing gateways, and real-time driving assistance in vehicle surround view integration platforms, as well as rapid response in smart community AI prevention, the processing and transmission of multi-channel camera data have become critical needs, with efficient and low-latency solutions being central to achieving these applications.Currently, multi-channel camera transmission solutions often have certain limitations, with a limited number of channels that cannot meet the demands of large-scale monitoring scenarios, and high latency that affects real-time performance. The encoding efficiency is also not satisfactory, typically consuming a large amount of bandwidth and storage resources. However, Miir Electronics has implemented 12-channel HD video stream H264 efficient encoding and RTSP low-latency streaming on the Rockchip RK3576 core board, achieving an end-to-end latency of approximately 140ms. Below, we will introduce how Miir achieves low-latency end-to-end transmission of 12-channel HD video streams.
1. Powerful Performance Architecture of the MYD-LR3576 Development Board:
The MYD-LR3576 development board adopts advanced 8nm process technology, integrating a quad-core Cortex-A72 (2.2 GHz) and a quad-core Cortex-A53 (2.0 GHz), equipped with a Mali-G52 MC3 graphics processing unit, a VPU video codec unit, and a 6TOPS computing power NPU.
Miir based on theRK3576 development board
2. 12-channel camera data collection and encoding via RTSP streaming, displayed after decoding on the other side
The video demonstrates the RK3576 acquiring data from 12 channels of 1920×1080 30fps camera data, encoding it, and transmitting it via Ethernet to another 3576 board for display, with the camera facing a stopwatch to observe the latency time.
STEP 1:Using12-channel AHD cameras to capture streams and encode for streaming
The MYD-LR3576 development boardhas3-channel 4-lane MIPI-CSI interfaces, paired with the MY-CAM004M video conversion module to connect 12 channels(1920*1080 30 frames)AHD HD cameras,usingRGA image processing before encoding intoH264bitstream for networkRTSPstreaming.This process has a video latency ofwithin 80~100ms.
Capturingvideo streamsafter encoding and RTSP pushingprocess:
R
GA processing unit occupancy
CPU processing unit occupancy
STEP 2: MYD-LR3576 development board receives video streams for display:
CPU occupancy
GPU occupancy
Due to network transmission and decoding, a delay of about40~50ms occurs, resulting in a total delay from video capture, encoding, RTSP transmission, to decoding and playback of 120~150ms.
Comparing the occupancy of each unit in both processes
3. Wide Application Scenarios
In industrial security, 12-channel cameras for the RK3576 are just a warm-up; don’t forget it also has a 6TOPS NPU that can handle the following application scenarios:
Intelligent Security Monitoring Field: As the central core, it easily manages the video streams from multiple monitoring cameras, achieving comprehensive, real-time monitoring without blind spots.
Industrial Vision Processing Gateway: Accurately processes various visual data in industrial production, aiding smart manufacturing.
Vehicle Surround View Integration Platform: Efficiently integrates images from multiple vehicle cameras, ensuring driving safety.
Smart Community AI Prevention: Monitoring for high-altitude object throwing, stranger alerts, and electric vehicles entering elevators, etc.
In summary, the solution developed by Miir Electronics based on the Rockchip RK3576 core board successfully addresses the issues of multi-channel HD video stream access, efficient encoding, and low-latency transmission, providing strong support for the real-time and reliability of smart vision applications. We will share related content on implementing AI processing of multi-channel video streams on the Miir RK3576 core board in the future, so stay tuned!
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