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Nano Drone-based Indoor Crime Scene Analysis*
Halmstad University, School of Information Technology, Center for Applied Intelligent Systems Research (CAISR).ORCID iD: 0000-0002-4998-1685
Halmstad University, School of Information Technology, Center for Applied Intelligent Systems Research (CAISR).
Halmstad University, School of Information Technology, Center for Applied Intelligent Systems Research (CAISR).ORCID iD: 0000-0002-1400-346X
2025 (English)In: 2025 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO), Piscataway, NJ: IEEE, 2025, p. 20-27Conference paper, Published paper (Refereed)
Abstract [en]

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. ©2025 IEEE

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE, 2025. p. 20-27
Series
IEEE Workshop on Advanced Robotics and its Social Impacts. Conference Proceedings, ISSN 2162-7576
Keywords [en]
Computer vision, Image analysis, Reviews, Prototypes, Stairs, Artificial intelligence, Blood, Drones
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-58459DOI: 10.1109/ARSO64737.2025.11124976ISBN: 979-8-3315-1101-2 (electronic)OAI: oai:DiVA.org:hh-58459DiVA, id: diva2:2039470
Conference
2025 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO), Osaka, Japan, 17-19 July, 2025
Part of project
AI-Powered Crime Scene Analysis, Vinnova
Funder
Vinnova, 2022-00919Available from: 2026-02-17 Created: 2026-02-17 Last updated: 2026-02-18Bibliographically approved

Open Access in DiVA

fulltext(1166 kB)39 downloads
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Cooney, MartinPonrajan, SivadineshAlonso-Fernandez, Fernando

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