Artificial Intelligence: Future of Firearm Examination

Moza Kudonu, Mohammad A. AlShamsi, S. Philip, Gursirat Khokhar, Parli B. Hari, Nrashant Singh
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引用次数: 1

Abstract

The current standard procedure for firearm examination is to compare two gunshot samples, one from the crime scene and the other from a firearm test shot. A bullet recovered at a crime scene can be studied using a comparison microscope, which allows a ballistics examiner to determine and compare the bullet to ascertain its source and if it was shot from the same firearm, which is a subjective analysis. The purpose of this research is to evaluate the approach of artificial intelligence for the examination of bullets to obtain an objective analysis. An effort was made through this research to evaluate the aims of artificial intelligence in forensic ballistics and to examine the class characteristics such as rifling marks and individual characteristics of a bullet and include a method of recommendation. The end-point objectives of this review are improvements and alterations to enhance the examination of a submitted bullet using the latest technological innovation such as a virtual microscope, quantum 3D microscope, and artificial intelligence expert systems. In conclusion, we discussed the use and relevance of advanced technologies to help obtain a reliable assessment of the bullet comparison other than the conventional methods.
人工智能:枪支检查的未来
目前枪支检查的标准程序是比较两个枪击样本,一个来自犯罪现场,另一个来自枪支测试射击。在犯罪现场发现的子弹可以使用比较显微镜进行研究,这使得弹道学检查员可以确定和比较子弹,以确定其来源,以及是否来自同一支枪,这是一种主观分析。本研究的目的是评估人工智能对子弹检测的方法,以获得客观的分析。通过这项研究,我们努力评估人工智能在法医弹道学中的目的,并检查子弹的类别特征,如膛线痕迹和个体特征,并包括一种推荐方法。本综述的最终目标是使用最新的技术创新,如虚拟显微镜、量子3D显微镜和人工智能专家系统,改进和改变以加强对提交子弹的检查。总之,我们讨论了先进技术的使用和相关性,以帮助获得可靠的评估,而不是传统方法的子弹比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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