Bullet fast matching based on single point laser detection

Abstract

Bullet trace detection’s main task is determining the type of bullet and the identity of the gun that fired it. In order to solve conventional bullet trace matching method problems, a bullet fast matching method based on single point laser detection is proposed. First, adaptive control of the bullet center position and cylinder axis were performed. Then, a laser displacement sensor was implemented to perform a 360° detection in order to trace rifling on the bullet surface in the circumferential direction; grayscale morphological filtering was implemented in order to de-noise detection data, and the Pearson correlation coefficient was implemented in order to perform the trace similarity matching calculation, thereby achieving a fast bullet trace matching. Moreover, the algorithm’s effectiveness was verified via practical testing data.