Real-time image monitoring technology is increasingly used in target tracking, robot navigation, assisted driving, and intelligent traffic monitoring. In the development of electronic and communication technologies, the technical level of image monitoring systems directly reflects the technological status of electronics and communication at different stages. In digital image monitoring systems, embedded monitoring systems mainly consist of embedded processors, Ethernet interface controllers, and other supporting hardware, as well as an embedded operating system. 1. Design Scheme This system uses the TI TMS320VC5471 as the processor. This chip is a dual-core device, integrating a TMS320C54xTMDSP subsystem with program and data memory (both RAM) and an ARM7TMRISC microcontroller core with simulation tools. In the dual-CPU system, the ARM7TDMI acts as the main CPU, responsible for image data storage, remote image data transmission, and storage capacity expansion; the DSP acts as the slave CPU, serving as the core of image acquisition and data processing, completing the image acquisition and processing system functions. The system uses a shared dual-port RAM memory to achieve communication between the DSP and the ARM7TDMI. The overall structure diagram of the image monitoring system is shown in Figure 1. 2 Hardware System 2.1 Host Control Unit The data transmission between the ARM subsystem and the DSP subsystem is very frequent, and the reliability and real-time performance of data transmission directly determine the system performance. Therefore, this system uses a shared dual-port RAM memory to realize the communication between the DSP and the ARM7TDMI, such as the dual-port RAM IDT70V24 produced by IDT, which has a capacity of 4k×16 bits. During operation, this design adopts an interrupt-driven communication method. Each side first puts the prepared data into the API memory, and then sends an interrupt signal to notify the other side that the data can be retrieved. After receiving the interrupt, the other side enters the interrupt service routine to retrieve the data from the API memory. 2.2 Analog Image Acquisition and Processing Unit The image signal is acquired by a CCD camera and outputs an analog image signal. The analog image A/D conversion is implemented using Philips' SAA7111A. This chip can perform functions such as multi-channel selection, phase-locked loop and timing, clock generation and testing, ADC, and luminance/color separation. Its output can have the following formats: YUV 4∶1∶1 (12 bits), YUV 4∶2∶2 (16 bits), YUV 4∶2∶2 (CCIR-656) (8 bits), etc., flexibly outputting different digital image data formats. Since the timing of the DSP processing chip and the SAA7111A are different, the data buffering function can be accomplished by using a CPLD to logically control the FIFO. 2.3 Storage Capacity Expansion Unit A large amount of data needs to be recorded in the system, requiring a large amount of memory to store the measured data. SRAM, FLASH, and CF cards are connected to the main CPU. CF cards have the characteristics of large storage capacity, fast read/write speed, and high flexibility, making them an ideal storage medium. This system uses the compactFLASH Card produced by KINGMAX, which has a storage capacity of 1 GB. The compactFLASH card is connected to the microcontroller's I2C interface using the chip's ARM core's built-in integrated circuit I2C interface. In memory-image mode, an 8-bit data bus controls the CompactFLASH card, and software can directly write data to the CompactFLASH card. The structure of the CF card is shown in Figure 2. 2.4 Keyboard and LCD Display Unit This system uses TI's TMS320VC5471 as the processor, and its ARM side provides a dedicated keyboard interface KBGPIO. KBGPIO[15:8] is internally connected to a +3.3V high level through pull-up resistors and is configured as an input port, which can be used as the row input of the matrix keyboard. KBGPIO[7:0] is configured as an input port and can be used as the column input of the matrix keyboard. The keyboard circuit input does not need to be connected to a high level through pull-up resistors. Only the row and column lines need to be led out and connected to the two ends of the key. The keyboard can have a total of 24 actual hard keys, and the function of each key can be defined by the user. This system uses an LCD as the display device, which can be used for debugging or other functions. The LCD selected is the GDM12864A liquid crystal display screen, which is a graphic liquid crystal display column driver controller with display memory. 2.5 The network module (EIM) of the TMS320VC5471 Ethernet control unit can implement the IEEE 802.3 protocol and the 10/100 Mb/s MAC layer function in full-duplex/half-duplex modes. The PHY interface of this system uses the Realtck RTL8201BL chip. The RTL8201BL is directly connected to the MAC controller of the TMS320VC5471 through the MII interface. The transmit output pin TPTX± and receive input TPRX± of the RTL8201 are connected to the RJ45 twisted-pair interface through a network isolation transformer to achieve secure isolation of the data channel. The block diagram of the network module (EIM) is shown in Figure 3. 2.6 The real-time image monitoring unit connects this system to the Internet, enabling real-time image monitoring via the Internet without the need for on-site presence. μC/OS-II is a real-time embedded operating system, which is an open-source preemptive multitasking microkernel RTOS. This design selects μC/OS-II and ports it to the ARM7 core embedded in the TMS320VC5471. The network communication protocol uses the LwIP protocol stack instead of the TCP/IP protocol stack, and is implemented by moving the LwIP protocol stack in. A schematic diagram of the embedded network platform structure is shown in Figure 4. 3. Software Design ARM assembly language is used to make each system into a subroutine function block. This not only makes the program compact and easy to read, but also enhances program portability and makes debugging and modification of each functional module easier. The program flowchart is shown in Figure 5. 4. Conclusion The research method of the embedded system based on embedded technology for real-time image monitoring proposed in this design fully utilizes the high performance of the TMS320VC5471 and the real-time stability of the embedded operating system. A TCP/IP protocol is used to establish a connection with the Internet, realizing remote control of real-time image monitoring. This mode of combining a dual-CPU processor with an embedded operating system can be widely used in video detection fields such as industrial control, product manufacturing, and intelligent transportation, and has broad application prospects.