Technologies such as robotics, Artificial Intelligence (AI), and Computer Vision (CV) can be applied to crime scene analysis (CSA) to help protect lives, facilitate justice, and deter crime, but an overview of the tasks that can be automated has been lacking. Here we follow a speculative prototyping approach: First, the STAIR tool is used to rapidly review the literature and identify tasks that seem to have not received much attention, like accessing crime scenes through a window, mapping/gathering evidence, and analyzing blood smears. Secondly, we present a prototype of a small drone that implements these three tasks with 75%, 85%, and 80% performance, to perform a minimal analysis of an indoor crime scene. Lessons learned are reported, toward guiding next work.
@article{arxiv.2502.21019,
title = {Nano Drone-based Indoor Crime Scene Analysis},
author = {Martin Cooney and Sivadinesh Ponrajan and Fernando Alonso-Fernandez},
journal= {arXiv preprint arXiv:2502.21019},
year = {2025}
}
Comments
8 pages, 6 figures, 3 tables, accepted at ARSO 2025