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评估 iPhone LiDAR 和 Recon-3D 在血痕分析中确定起源区域的应用。

Assessing iPhone LiDAR & Recon-3D for determining area of origin in bloodstain pattern analysis.

机构信息

Forensic Science Department, Trent University, Peterborough, Ontario, Canada.

ai2-3D Forensics, Woodbridge, Ontario, Canada.

出版信息

J Forensic Sci. 2024 May;69(3):1045-1060. doi: 10.1111/1556-4029.15476. Epub 2024 Feb 5.

Abstract

Bloodstain pattern analysis (BPA) has proven to be a useful tool in forensic and criminal investigations for quite some time. Traditionally, documenting a crime scene for a bloodletting event was completed using manual techniques, physical strings, and a tape measure. In more recent years, laser scanners and 3D software programs have become a preferred method to capture accurate data that improves the validity and reliability of BPA. The initial cost of laser scanning equipment is relatively high, rendering these systems inaccessible to some police and smaller agencies. Recon-3D is a newly developed iPhone application that utilizes the iPhone LiDAR sensor in combination with video data to create 3D point clouds of crime scenes. To assess the viability of Recon-3D for area of origin analysis, two tests were performed. One was a series of bloodstain impacts which were analyzed in FARO Zone 3D software, while the second was a series of 6 repeated Recon-3D scans of two 90-degree walls which was then compared to the FARO Focus S350 scanner using CloudCompare software. A total of eight impact patterns were made at three different distances from a wall. The area of origin was measured and compared to the known location of the blood source. The average total 3D error for the area of origin set at 25, 50, and 100 cm from two perpendicular walls was found to be 6.04, 15.16, and 36.59 cm, respectively. These results are similar to past studies where programs such as HemoSpat have been used. The results of the point cloud comparison show that on average, 95% of the points from Recon-3D fall below a threshold of 3.6 mm when compared to a FARO Focus S350 laser scanner. Thus, the results of this test suggest that Recon-3D is an accurate and affordable scanning application for bloodstain patterns at crime scenes and the data provide acceptable results for area of origin analysis in BPA programs which accept laser scanner data.

摘要

血迹分析(BPA)已经被证明是法医学和犯罪调查中的有用工具已经有一段时间了。传统上,使用手动技术、物理字符串和卷尺来记录出血事件的犯罪现场。近年来,激光扫描仪和 3D 软件程序已成为捕捉提高 BPA 有效性和可靠性的准确数据的首选方法。激光扫描设备的初始成本相对较高,使得一些警察和较小的机构无法使用这些系统。Recon-3D 是一款新开发的 iPhone 应用程序,它利用 iPhone 的 LiDAR 传感器与视频数据相结合,创建犯罪现场的 3D 点云。为了评估 Recon-3D 用于起源分析的可行性,进行了两项测试。一个是一系列血迹冲击的分析,在 FARO Zone 3D 软件中进行分析,另一个是两个 90 度墙壁的一系列 6 次重复 Recon-3D 扫描,然后使用 CloudCompare 软件与 FARO Focus S350 扫描仪进行比较。总共在离墙壁三个不同距离处制作了八个冲击模式。测量起源区域并与血液源的已知位置进行比较。距离两个垂直墙壁 25、50 和 100 厘米处起源区域的平均总 3D 误差分别为 6.04、15.16 和 36.59 厘米。这些结果与过去的研究相似,其中 HemoSpat 等程序已经被使用。点云比较的结果表明,与 FARO Focus S350 激光扫描仪相比,Recon-3D 的点云中平均有 95%的点低于 3.6 毫米的阈值。因此,这项测试的结果表明,Recon-3D 是一种用于犯罪现场血迹模式的准确且经济实惠的扫描应用程序,并且该数据为接受激光扫描仪数据的 BPA 程序中的起源分析提供了可接受的结果。

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