Gunshot recognition technology can quickly and accurately provide battlefield information in a military environment, but most gunshot recognition systems are currently deployed on the server side, which is not practical and feasible. To solve this problem, this paper designs a ZYNQbased technology gun sound recognition system. The system takes ZYNQ7020 chip as the core, and makes full use of the ZYNQ chip that integrates ARM and FPGA. First, a multi-channel data transmission link and a sound field feature parameter extraction module are designed in the FPGA part of the chip. Secondly, the ARM part of the chip is deployed after the lightweight network model trained on the PC side processes the feature parameters extracted by the FPGA to identify the types of gunshots. Finally, the three gunshots in the gunshot dataset NIJ Grant 2016-DN-BX-0183 are used. Test in the field. The test results show that the system can accurately classify gunshots, and the average recognition rate of gunshots reaches 91.67%. This achievement has strong application value in the field of gunshot recognition.