Research And Implementation Of The Real-time Imaging And Monitoring System Based On FPGA

Image information is one of the most important information that human beings collect. A real-time imaging system has a wide range of applications in dynamic imaging monitoring, digital image processing and image recognition. With the development of digital technology and the popularization of programmable chips, there has been new development in the design concept and methods for a real-time image collecting and displaying system; and there have been higher requirements for a system's integration, efficiency, costs, size, and speed according to the system's different applications in the fields of security, medical, military, and industrial automatics control. The primary effort in this design is to realize real-time image acquisition and display with FPGA control. The paper first introduces the current research in image acquisition and display systems, as well as such research's significance; then it explains in detail the overall structural design of the system with a focus on constructing the whole system's hardware platform, designing the modules of the software system, and programming. In this design, we use Altera's FPGA EP2C35F672C8N as the hardware platform's core components of the system; Micron's CMOS sensor chip MT9M111 as the component for data collection, pre-process, and transmission; and TPO's 3.6-inch LCD screen TD036THEA3 as the imaging display. The hardware design includes the main chip selection, the PCB graph design, the power module design, the clock and reset circuit design, and the FPGA configuration design. As for the programming of the design, we use Verilog HDL in Quartus II to program CMOS control unit, real-time image acquisition unit, SDRAM controller and LCD monitoring unit so as to complete the programming of FPGA unit, distribution, and download configuration. Then, we perform tests of the hardware part of the whole system, the FPGA module part and its integrated parts. The completed system has some major advantages. The high processing speed of the core components in the hardware platform and the simplified algorithm used for image data conversion both contribute to the system's efficiency and efficacy. Meanwhile, by using FPGA as the hardware platform's core components of the system, we make the system more efficient, less expensive, and smaller. Experimental tests prove that the real-time imaging and monitoring system in this design has achieved very good stability and scalability.