Cranfield Forensic Institute, Cranfield University, Defence Academy of the UK, Wiltshire, UK.
Cranfield University, Defence Academy of the UK, Wiltshire, UK.
J Forensic Sci. 2022 May;67(3):1221-1232. doi: 10.1111/1556-4029.15009. Epub 2022 Mar 9.
Nowadays, a plethora of unmanned aerial vehicles (UAVs) designs that significantly vary in size, shape, operating flight altitude, and flight range have been developed to provide multidimensional capabilities across a wide range of military and civil applications. In the field of forensic and police applications, drones are becoming increasingly used instead of helicopters to assist field officers to search for vulnerable missing persons or to target criminals in crime hotspots, and also to provide high-quality data for the documentation and reconstruction of the forensic scene or to facilitate evidence detection. This paper aims to examine the contribution of UAVs in real-time evidence detection in outdoor crime scene investigations. It should be highlighted that the project innovates by providing a quantitative comparative analysis of UAV-based and traditional search methods through the simulation of a crime scene investigation for evidence detection. The first experimental phase tested the usefulness of UAVs as a forensic detection tool by posing the dilemma of humans or drones. The second phase examined the ability of the drone to reproduce the obtained performance results in different terrains, while the third phase tested the accuracy in detection by subjecting the drone-recorded videos to computer vision techniques. The experimental results indicate that drone deployment in evidence detection can provide increased accuracy and speed of detection over a range of terrain types. Additionally, it was found that real-time object detection based on computer vision techniques could be the key enabler of drone-based investigations if interoperability between drones and these techniques is achieved.
如今,已经开发出了大量大小、形状、作业飞行高度和飞行范围差异显著的无人机 (UAV) 设计,以提供广泛的军事和民用应用中的多维能力。在法医和警察应用领域,无人机正越来越多地被用于替代直升机,以协助现场官员搜索易受伤害的失踪人员或在犯罪热点地区定位罪犯,还可以为法医现场的记录和重建提供高质量的数据,或有助于证据检测。本文旨在探讨无人机在户外犯罪现场调查中的实时证据检测中的贡献。应该强调的是,该项目通过模拟犯罪现场调查来进行基于无人机和传统搜索方法的定量比较分析,实现了创新。第一实验阶段通过提出人类或无人机的困境来测试无人机作为法医检测工具的有用性。第二阶段检验了无人机在不同地形中重现所获得的性能结果的能力,而第三阶段则通过将无人机记录的视频应用于计算机视觉技术来测试检测的准确性。实验结果表明,在一系列地形中,无人机在证据检测中的部署可以提高检测的准确性和速度。此外,还发现,如果实现了无人机与这些技术之间的互操作性,基于计算机视觉技术的实时目标检测可能是基于无人机的调查的关键推动因素。