Abstract: The curved bionic compound eye camera has the characteristics of large field of view and sensitivity to moving objects, and has broad application prospects in the fields of national defense, medicine and civil industry, such as wide-area detection, endoscopic catheter, precision guidance, etc. The research on velocity measurement technology of high-speed moving target based on the curved bionic compound eye camera was reported. Firstly, a velocity measurement model based on the principle of curved bionic compound eye imaging was established, then the position of each sub-eye was found on the original compound eye image by using the Hoff circle detection algorithm, and the overlapping field of view between adjacent sub-eyes was analyzed by image segmentation. Finally, the sub-images of the two adjacent sub-eyes were extracted and matched with the SIFT algorithm, and the number of pixels in the overlapping area was calculated from the pixel coordinates of the extracted feature points, so as to get the moving speed of the car. Further, the relevant velocity measurement experiment was designed to verify. In the experiment, the shooting distance was controlled between 6 m and 10 m. The velocity test was carried out on the vehicle moving in a uniform straight line at a speed of 8.33 m/s. The test results show that the relative error of the velocity test can be controlled within 4%. Compared with the velocity measurement results of single aperture imaging system, the curved bionic compound eye velocity measurement technology has higher accuracy and repeatability.