The current method for forensic analysis of bullet comparison relies on manual examination by forensic examiners to determine if bullets were discharged from the same firearm. This process is highly subjective, prompting the development of algorithmic methods to provide objective statistical support for comparisons. However, a gap exists between the technical understanding of these algorithms and the typical background of many forensic examiners. We present a visualization tool designed to bridge this gap, allowing for the presentation of statistical information in a more familiar format to forensic professionals. The forensic bullet comparison visualizer (FBCV) features a variety of plots that will enable the user to examine every step of the algorithmic comparison process. We demonstrate the utility of the FBCV by applying it to data from the Houston Science Lab, where it helped identify an error in the comparison process caused by mislabeling. This tool can be used for future investigations, such as examining how distance between shots affects scores. The FBCV offers a user-friendly way to convey complex statistical information to forensic examiners, facilitating their understanding and utilization of algorithmic comparison methods.

翻译：当前的法医子弹比对分析方法依赖于法医检验员的人工检查，以确定子弹是否从同一枪支发射。这一过程具有高度主观性，因此推动了算法方法的开发，旨在为比对提供客观的统计支持。然而，这些算法的技术理解与许多法医检验员的典型背景知识之间存在差距。我们提出了一种可视化工具，旨在弥合这一差距，允许以法医专业人员更熟悉的格式呈现统计信息。该法医子弹比对可视化工具（FBCV）具有多种图表，使用户能够检查算法比对过程的每一步。我们通过将FBCV应用于休斯顿科学实验室的数据来展示其实用性，该工具帮助识别了由错误标记引起的比对过程中的一个错误。此工具可用于未来的调查，例如研究射击距离如何影响比对分数。FBCV提供了一种用户友好的方式，向法医检验员传达复杂的统计信息，促进他们对算法比对方法的理解与运用。