With the development of infrared focal plane detector applications, there is an increasing demand for high-frame-frequency imaging, such as the detection and tracking of high-speed small targets, and the tracking and imaging of unmanned aircraft swarms in complex backgrounds, and other fields. The infrared dynamic vision sensor is a bionic sensor different from the traditional infrared sensor, which integrates the photocurrent at a fixed frame rate to form a grayscale image, whereas the infrared dynamic vision sensor asynchronously measures the luminance change of each pixel and outputs the position, time, polarity, etc. of the area of the luminance change in the form of an event stream, which removes the background interference and retains the information of the moving object only, greatly reducing the data Redundancy and lower transmission pressure. Compared with the traditional infrared focal plane readout circuit, the infrared dynamic vision sensor readout circuit has the advantages of high temporal resolution, high dynamic range and low power consumption. Therefore, in this paper, a digital processing circuit based on infrared event detector devices and its visualization method are designed.The paper adopts Round Robin arbitration principle in digital circuit design, which replaces the arbitration tree and reduces the arbitration delay (Fig.4). At the same time, it adopts only row arbitration, together with the output of the whole row information through the compression algorithm, which reduces the delay brought by the column arbitration and the redundancy of the time-stamped information (Fig.5). Two RAM IP cores are used to accumulate the event data over time, enabling writing and reading, and ultimately transmission via the HDMI protocol (Fig.7).Using the robin arbitration algorithm, the arbitration result can be output in one clock with a delay of 1 clock, which is a significant improvement compared to the arbitration tree structure with a delay of 2-9 clocks. Using only line arbitration with the whole line of information through the compression algorithm output, the equivalent frame rate FR = 1085 Hz, data throughput EPS = 0.36 G, the results are comparable to the visible light band product parameters (Tab.1).Facing the application requirements of infrared focal plane high frame rate readout, a digital processing method for differential infrared dynamic vision sensors is proposed in this paper, which adopts polling arbitration algorithm instead of arbitration tree structure to reduce the impact of arbitration delay; at the same time, it adopts only row arbitration together with the data compression output to reduce the uncertainty and arbitration delay caused by column arbitration. The design is verified using Xilinx FPGA development board, and the corresponding visualization method is proposed. In the visualization process, the 40 bit timestamp information is not used, which can be used for subsequent digital image processing of the event stream. It lays a technical foundation for the development, testing and data processing of the subsequent infrared band dynamic vision sensors.