Fpga-based Real-time Dual-camera Image Detection System

With the technological development and social progress, people living standards are improving at the same time enhance the security consciousness, making the security products market share gradually increased, which accounted for the video surveillance system a large proportion. But also the effectiveness and convenience of video surveillance put forward higher requirements, so a growing number of digital video surveillance system products in people's lives, both consistent with the future development trends of information industry, and they represent the surveillance industry the future direction of development, tremendous business opportunities and economic benefits, as the current popular interest in the information industry of digital products.In order to design a more user-friendly digital control system products, the paper design based on programmable logic devices and IP networks dual cameras real-time image detection system. The system uses a powerful, flexible design of the SOPC (System on a Programmable Chip) technology, the use of video image processing for FPGA (Field Programmable Gate Array) chips to achieve the image acquisition, image detection, image storage and image transmission function. The two cameras can monitor the area or objects by multi-angle monitor and the monitor automatically detects whether the anomaly occurred, when there is abnormal situation will capture an image stored on the SD card in real time, user check to history records, while the figure transport to the client over the network.Compare to the traditional video surveillance systems, this system has many advantages. First, use of the system functions on a single chip design ideas, using a high-performance soft-core processor (Nios II CPU) and IP multiplexing and improve the whole system to further improve the speed and flexibility. Second, in the design of dual-camera image acquisition, the use of hardware description language Verilog HDL (Verilog Hardware Description Language) preparation of the image acquisition module, cache module top-level programs and hardware, hardware highlights the characteristics of fast running. Third, the Nios II IDE integrated development environment, using C language for image detection and image storage and other procedures to achieve the purpose of the system hardware and software co-design, expansion of the system function and increased system availability. Fourth, the transplantation of an embedded operating system (μClinux), using stability and fast of transmission network, to achieve long-distance transmission of image data. Follow-up in the system upgrade, you can integrate to monitor the system,information management systems and network systems integration, in order to achieve resource sharing, to provide users with more convenient, fast and efficient service.