Application of rifling comparison technology based on deep learning

Zhiwei Sun; Xun Han; Ruili Chen

doi:10.1117/12.3006121

10 October 2023 Application of rifling comparison technology based on deep learning

Zhiwei Sun, Xun Han, Ruili Chen

Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127991S (2023) https://doi.org/10.1117/12.3006121
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia

Abstract

In order to improve the efficiency of bullet marks inspection and meet the requirements of timeliness and accuracy of bullet marks inspection, it is urgent to make use of the powerful performance of artificial intelligence to develop a deep learing-based gun rifle-comparing system that can achieve accurate identification, rapid inspection and scientific qualitative. To achieve rapid combination and rapid tracing, to provide strong clues and technical support for rapid case detection. This paper introduces the development background of traditional bullet mark inspection, summarizes the existing automatic recognition technology of bullet mark inspection and its shortcomings, analyzes the application status of deep learning in bullet mark inspection, and finally prospects the application of deep learning in rifling comparison technology of bullet.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhiwei Sun, Xun Han, and Ruili Chen "Application of rifling comparison technology based on deep learning", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127991S (10 October 2023); https://doi.org/10.1117/12.3006121

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KEYWORDS

Deep learning

Inspection

Computing systems

Image processing

Image retrieval

Data modeling

Education and training

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