Proceedings of the First International Conference on Advances in Forensics and Cyber Technologies (ICFACT 2025)

AI for Analysis of Complex Crime Scenes

Authors
Avasarala C. K. Sahithi1, Kola Rajani Priya1, Gaddam Sasikiran2, T. Sowmyya3, *
1Student, Forensic Science Unit, Department of Chemistry, University College of Science, Osmania University, Hyderabad, 500007, Telangana, India
2Part Time Faculty, Forensic Science Unit, Department of Chemistry, University College of Science, Osmania University, Hyderabad, 500007, Telangana, India
3Assistant Professor, Forensic Science Unit, Department of Chemistry, University College of Science, Osmania University, Hyderabad, 500007, Telangana, India
*Corresponding author. Email: dr.sowmyya@osmania.ac.in
Corresponding Author
T. Sowmyya
Available Online 5 May 2026.
DOI
10.2991/978-94-6239-610-4_2How to use a DOI?
Keywords
Artificial intelligence; complex crime-scenes; AI prototype; aerial 3-D scanners
Abstract

Artificial intelligence (AI) is a discipline under computer science, focusing on producing systems competent enough to accomplish assignments that demand for the human intellect. AI basically, enables computers or devices to work and think like humans. It is being used in day-to-day life and is assisting working professionals in completing challenging tasks. AI is being customized and designed using Python programming. Application of AI has now become a hot spot in developing latest techniques for forensic and crime analysis. Crime Scene analysis generally depends upon experts to collect evidence, identify patterns and draw conclusions which can be supported using AI. In this work, we aim to design an AI prototype that can explore through the given crime scene and identify the potential evidences. The main aim of this AI is to be used in complex crime scenes like arson scenes, explosion scenes and mass disaster scenes, where searching for the evidences becomes challenging in the rubble of the crime scenes. AI can also alert the investigation team regarding the dangerous spots in that crime scene like, any loose electric wires, unexploded or suspicious material if any. It can be integrated with aerial three dimensional scanners by connecting scanner hardware system to AI. AI can analyse the scanned image and hunt through the crime scene to give us better output regarding the available evidences and suspected dangers in the crime scene. This helps to potentially reduce accidents and to identify the main evidences easily in such mess of a crime scene.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the First International Conference on Advances in Forensics and Cyber Technologies (ICFACT 2025)
Series
Advances in Computer Science Research
Publication Date
5 May 2026
ISBN
978-94-6239-610-4
ISSN
2352-538X
DOI
10.2991/978-94-6239-610-4_2How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Avasarala C. K. Sahithi
AU  - Kola Rajani Priya
AU  - Gaddam Sasikiran
AU  - T. Sowmyya
PY  - 2026
DA  - 2026/05/05
TI  - AI for Analysis of Complex Crime Scenes
BT  - Proceedings of the First International Conference on Advances in Forensics and Cyber Technologies (ICFACT 2025)
PB  - Atlantis Press
SP  - 7
EP  - 13
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-610-4_2
DO  - 10.2991/978-94-6239-610-4_2
ID  - Sahithi2026
ER  -