Nano Drone-based Indoor Crime Scene Analysis*
Martin Cooney, Sivadinesh Ponrajan, Fernando Alonso‐Fernandez
- Year
- 2025
- Citations
- 3
Abstract
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 $\mathbf{7 5 \%, 8 5 \%}$, and $\mathbf{8 0 \%}$ performance, to perform a minimal analysis of an indoor crime scene. Lessons learned are reported, toward guiding next work.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002