Abstract:To address the existing problems of high measurement difficulty, low efficiency, poor precision, complicated deployment and poor mobility in measuring characteristic parameters of projectile-target intersection when projectiles strike aerial targets, a machine vision-based automatic testing system for projectile-target intersection is designed and implemented. By adopting technologies including image acquisition, target recognition and tracking, as well as automatic control, an automatic tracking and acquisition device for aerial targets within the target area is constructed. It realizes target tracking, automatic image capture and data storage of video frames during projectile-target intersection.With the integration of binocular intersection measurement, image analysis and processing, spatial coordinate transformation, data curve fitting and other technologies, a dedicated data processing software is developed. The software can analyze and calculate key characteristic parameters within the projectile-target intersection area, such as projectile flight trajectory, intersection position, intersection velocity, intersection spacing and intersection angle, and automatically generate test results.Field tests and verification results show that the proposed automatic testing system for projectile-target intersection greatly improves test efficiency and measurement precision, features simple deployment and excellent mobility, and significantly reduces the operation difficulty for users. In addition, the system can provide important technical reference for measuring projectile-target intersection characteristic parameters of other types of projectiles.