Wang Can, Beggs-Cassin Mardy, Wein Lawrence M
Electrical Engineering Department, Stanford University, Stanford, CA, 94305.
Firearms Unit, Stockton Police Department, Stockton, CA, 95202.
J Forensic Sci. 2017 Sep;62(5):1188-1196. doi: 10.1111/1556-4029.13443. Epub 2017 Apr 3.
Ballistic imaging systems can help solve crimes by comparing images of cartridge cases, which are recovered from a crime scene or test-fired from a gun, to a database of images obtained from past crime scenes. Many U.S. municipalities lack the resources to process all of their cartridge cases. Using data from Stockton, CA, we analyze two problems: how to allocate limited capacity to maximize the number of cartridge cases that generate at least one hit, and how to prioritize the cartridge cases that are processed to maximize the usefulness (i.e., obtained before the corresponding criminal case is closed) of hits. The number of hits can be significantly increased by prioritizing crime scene evidence over test-fires, and by ranking calibers by their hit probability and processing only the higher ranking calibers. We also estimate that last-come first-served increases the proportion of hits that are useful by only 0.05 relative to first-come first-served.
弹道成像系统可以通过将从犯罪现场找到的或从枪支试射获得的弹壳图像与从过去犯罪现场获取的图像数据库进行比较,来帮助破案。美国许多城市缺乏处理所有弹壳的资源。利用加利福尼亚州斯托克顿的数据,我们分析了两个问题:如何分配有限的处理能力,以使至少产生一次匹配的弹壳数量最大化;以及如何对处理的弹壳进行优先级排序,以使匹配结果的有用性(即在相应刑事案件结案前获得)最大化。通过将犯罪现场证据的优先级置于试射之上,并根据命中概率对口径进行排序,只处理排名较高的口径,可以显著增加匹配的数量。我们还估计,相对于先到先得,后到先服务只会使有用匹配的比例提高0.05。