Design of Embedded Wireless Video Acquisition System Based on ARM

Mainly introduced in the domestic and international markets are digitally controlled analog video surveillance and digital video surveillance [1]. The technology development of the former is very mature, the product performance is stable, and it has been widely used in practical engineering. The latter is a newly emerging new video surveillance system based on computer technology and image video compression technology. The system is rapidly emerging on the basis of solving some of the drawbacks of analog video surveillance systems. Under the background of the universal promotion of the Internet and the gradual improvement of network bandwidth, video surveillance technology has developed rapidly, and an embedded network video surveillance system integrating multimedia technology, network communication technology and embedded technology has emerged.

At present, the research on embedded video surveillance systems in China has made great progress, but the research on embedded wireless video surveillance systems in China is still relatively rare. This paper introduces the self-developed ARM-based embedded wireless video capture system design. The solution uses the S3C2410 embedded processor and ARMLinux operating system to complete the communication between the client and the video server through the 3G wireless network card through the self-developed video server software. The hardware structure of the system, the overall structure of the server software, the construction of the driver, the image acquisition and compression, and the design of the transmission module are introduced and tested. The experimental results show that the system adopts H.264 coding technology to ensure the video transmission quality while having good bandwidth adaptability.

1 overall system structure

The system consists of three parts: monitoring live camera, embedded video server and client. The camera at the monitoring site realizes image acquisition, and transmits the collected image information to the embedded video server through the internal bus. The embedded remote video surveillance system is an embedded system based on S3C2410 processor, H.264 compression, Web server and Linux operating system. Its main function is to perform H.264 compression encoding on the image captured by the camera and encode it. The resulting image is transmitted over a 3G wireless network. The client mainly completes the image receiving and decompressing, and the user can access the embedded video server through the web browser to view the image captured by the camera, thereby realizing remote video monitoring. The overall structure of the embedded remote video surveillance system is shown in Figure 1.

Overall system structure

Figure 1 Overall block diagram of the embedded remote video surveillance system

2 system hardware structure

The system hardware consists of image sensor MI360, 3G wireless module MC8630, image compression chip ZC0301, microprocessor chip S3C2410, Ethernet control chip, SDRAM and other chips. The S3C2410 features low power, streamlined, and fully static design with MMU memory management, independent 16 KB instructions and 16 KB data cache for reliable performance in high performance and low power. The wireless module uses ZTE 3G module MC8630, the data rate is forward: 3.1 Mb/s max, reverse: 1.8 Mb/s max.

In order to reduce the cost and simplify the design, this solution selects ZC0301 of Zhongxingwei as the video compression coding chip. Vimicro ZC0301 is mainly composed of five major functional modules: system control, image signal processing, sub-sampling and horizontal scanning, JPEG encoder and USB device control. CMOS image sensor selects Micron's MI360, which uses VGA standard (300,000 pixels), 1/4 inch light-sensing area, effective pixel 649H & TImes; 489H, low noise technology, noise level up to CCD standard. The MI360 and ZC0301 compression coding chips complete the acquisition, compression and encoding of video data. The system hardware structure is shown in Figure 2.

System hardware structure

Figure 2 Embedded monitoring system hardware structure

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