Research on Bullet Recognition Technology Based on Deep Learning

The application of image recognition technology to weapon systems has not yet formed a systematic theory. In order to study the high-precision identification of projectiles in weapon systems, the application of projectile identification in engineering is realized. In this paper, the recognition technology based on deep learning is carried out, and on the basis of the traditional algorithm, the characteristics of the appearance image of the ammunition are analyzed, and combined with the complexity of the appearance detection of the ammunition, an image processing technology of undercurrent channel filtering combined with YOLO V3 is proposed, and the expected results are obtained after verification based on video sequences and images. Experiments show that the algorithm has relatively high applicability, more stable detection effect and higher accuracy.