Jaskaran Singh Professor, School of Sciences, Geeta University, Panipat, Hayana,, India
Ananya G. Assistant Professor, School of Sciences, Geeta University, Panipat, Hayana,, India
Address for correspondence: Sahil Sharma, Assistant Professor, School of Sciences, Geeta Univeristy, Panipat, Hayana,, India E-mail: sahilsharma1277@gmail.com
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Mahak, Sahil Deswal, Jaskaran Singh et al. Drone: A Smart Intelligent Framework Aiding Forensic Investigations.
Indian J Forensic Med Pathol. 2026; 19(2): 223-235
Timeline
Received : December 01, 2025
Accepted : March 05, 2026
Published : June 30, 2026
Abstract
UAV’s (Unmanned Aerial Vehicles) named Drones are playing significant role in the field of forensic sciences. Primarily, the utilization of these drones for crime scene investigation is served lot of forensic charm. Furthermore, its application
in diverse fields of forensic sciences is efficiently yielding importance for criminal investigation. In this review an attempt has been made to portray applicability of forensic drones in various disciplines of forensic science such as photogrammetry, CSI, proactive forensics.
References
1. Montasari, R., Jahankhani, H., Hill, R., & Parkinson, S. (Eds.). (2021). Digital forensic investigation of Internet of Things (IoT) devices. Springer.
2. Mendis, N.D.N.A., Dharmarathne, T.S.S., & Wanasinghe, N.C. (2017). Use of unmanned aerial vehicles in crime scene investigationsnovel concept of crime scene investigations. Forensic Res Criminol Int J, 4(1), 1-2.
3. Fust, P., & Loos, J. (2020). Development perspectives for the application of autonomous, unmanned aerial systems (UASs) in wildlife conservation. Biological Conservation, 241, 108380.
4. Srivastava, S., Gupta, S., Dikshit, O., & Nair, S. (2020). A review of UAV regulations and policies in India. Proceedings of UASG 2019: Unmanned Aerial System in Geomatics 1, 315-325.
5. Rajagopalan, R.P., & Krishna, R. (2019). India’s Drone Policy: Domestic and Global Imperatives. ICAO Scientific Review: Analytics and Management Research, 1, 53-68
6. Pastor, E., Lopez, J., & Royo, P. (2006, October). A hardware/software architecture for UAV payload and mission control. In 2006 ieee/aiaa 25TH Digital Avionics Systems Conference (pp. 1-8). IEEE.
7. Yaacoub, J.P., Noura, H., Salman, O., & Chehab, A. (2020). Security analysis of drones systems: Attacks, limitations, and recommendations. Internet of Things, 11, 100218.
8. Hassanalian, M., & Abdelkefi, A. (2017). Classifications, applications, and design challenges of drones: A review. Progress in Aerospace Sciences, 91, 99-131.
9. Al-Dhaqm, A., Ikuesan, R.A., Kebande, V.R., Razak, S., & Ghabban, F.M. (2021). Research challenges and opportunities in drone forensics models. Electronics, 10(13), 1519.
10. Atkinson, S., Carr, G., Shaw, C., & Zargari, S. (2021). Drone forensics: the impact and challenges. Digital Forensic Investigation of Internet of Things (IoT) Devices, 65-124. Mahak, Sahil Deswal, Jaskaran Singh et al. Drone: A Smart Intelligent Framework Aiding Forensic Investigations.234 Indian Journal of Forensic Medicine and Pathology IJFMP/Volume 19 Number 2 April–June 2026
11. Udeanu, G., Dobrescu, A., & Oltean, M. (2016). Unmanned aerial vehicle in military operations. Sci. Res. Educ. Air Force, 18(1), 199-206.
12. Wall, T., & Monahan, T. (2011). Surveillance and violence from afar: The politics of drones and liminal security-scapes. Theoretical criminology, 15(3), 239-254.
13. Islam, S.M. (2023). Drones on the Rise: Exploring the Current and Future Potential of UAVs. arXiv preprint arXiv:2304.13702.
14. Krátky, M., Minařík, V., Šustr, V., & Ivan, J. (2020). Electronic Warfare Methods Combatting UAVs. Advances in Science, Technology and Engineering Systems Journal, 5(6), 447-454.
15. Cattneo, C., De Angelis, D., & Grandi, M. (2006). Mass disasters. Forensic anthropology and medicine: complementary sciences from recovery to cause of death, 431-443.
16. Spranger, M., Heinke, F., Becker, S., & Labudde, D. (2016). Towards drone-assisted large-scale disaster response and recovery. In Proceedings of International Conference on Advances in Computation, Communication and Services (pp. 5-10).
17. Mishra, V., Dedhia, H., & Wavhal, S. (2015). Application of drones in the investigation and management of a crime scene. Forensic Sci, 4(4), 1-2.
18. Georgiou, A., Masters, P., Johnson, S., & Feetham, L. (2022). UAV‐assisted real-time evidence detection in outdoor crime scene investigations. Journal of forensic sciences, 67(3), 1221-1232.
19. Thiruchelvam, I.V., Jegatheswaran, R., Juremi, J.B., & Puat, H.A.M. (2021). Crime Scene Reconstruction Based on a Suitable Software: A Comparison Study. Journal of Engineering Science and Technology, 266-283.
20. Engberts, B., & Gillissen, E. (2016). Policing from above: Drone use by the police. The future of drone use: Opportunities and threats from ethical and legal perspectives, 93-113.
21. Škorput, P., Mandžuka, S., Gregurić, M., & Vrančić, M.T. (2020). Applying Unmanned Aerial Vehicles (UAV) in traffic investigation process. In New Technologies, Development and Application II 5 (pp. 401-405). Springer International Publishing.
22. Amin, M., Abdullah, S., Abdul Mukti, S.N., Mohd Zaidi, M.H.A., & Tahar, K.N. (2020). Reconstruction of 3d Accident Scene From Multirotor Uav Platform. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 43.
23. Ruffell, A., Lally, A., & Rocke, B. (2021). Dronar—Geoforensic Search Sonar from a Drone. Forensic Sciences, 1(3), 202-212.
24. Paba, R., Moniz, R., & Magni, P.A. (2023). Optimizing underwater visual records for crime scene investigations in water with clear to reduced visibility. Forensic Science International: Synergy, 6.
27. Adel, A., & Jan, T. (2024). Watch the Skies: A Study on Drone Attack Vectors, Forensic Approaches, and Persisting Security Challenges. Future Internet, 16(7), 250. https:// doi.org/10.3390/fi16070250.
28. Zhao, Z., Wang, Y., & Liao, G. (2024). Digital Forensic Research for Analyzing Drone and Mobile Device: Focusing on DJI Mavic 2 Pro. Drones, 8(7), 281. https://doi.org/10.3390/ drones8070281
29. 2Editya, A.S., Kurniati, N., Alamin, M.M., Pramana, A.L., & Lisdiyanto, A. (2024). Forensic Analysis of Drones Attacker Detection Using Deep Learning. Scientific Journal of Informatics. https://doi.org/10.15294/sji. v11i1.48183
30. Lee, S., Seo, H., & Kim, D. (2023). Digital Forensic Research for Analyzing Drone Pilot: Focusing on DJI Remote Controller. 23. https://doi.org/10.3390/s23218934
31. Almusayli, A., Zia, T.A., & Qazi, E.H. (2024). Drone Forensics: An Innovative Approach to the Forensic Investigation of Drone Accidents Based on Digital Twin Technology. Technologies (Basel). https://doi. org/10.3390/technologies12010011
32. Alotaibi, F., Al-Dhaqm, A., & Al-Otaibi, Y. D. (2023). A Conceptual Digital Forensic Investigation Model Applicable to the Drone Forensics Field. https://doi.org/10.48084/ etasr.6195
33. Alotaibi, F., Al-Dhaqm, A., Al-Otaibi, Y.D., & Alsewari, A.R.A. (2022). A Comprehensive Collection and Analysis Model for the Drone Forensics Field. Sensors, 22(17), 6486. https:// doi.org/10.3390/s22176486235 IJFMP/Volume 19 Number 2 April–June 2026
34. Studiawan, H., Pratomo, B.A., & Ahmad, T. (2023). Anomaly Detection on Drone Forensic Timeline with Sigma Rules. 1–5. https://doi. org/10.1109/ESCI56872.2023.10100018
35. Chaudhary, N. (2024). Digital Forensic Investigation of a Damaged Drone: A Case Study (pp. 443–455). Springer International Publishing. https://doi.org/10.1007/978-981- 99-9531-8_36
36. Nayak, S.C., Samanthula, B.K., & Tiwari, V. (2023). Investigating Drone Data Recovery Beyond the Obvious Using Digital Forensics. 0254–0260. https://doi.org/10.1109/ uemcon59035.2023.10315995
37. Taylor, A. (2023). A Digital Forensics Case Study of the DJI Mini 3 Pro and DJI RC. arXiv.Org, abs/2309.10487. https://doi. org/10.48550/arxiv.2309.10487
38. A Comparative Study of Drone Forensic Tools and Techniques. (2023). https://doi. org/10.1109/idciot56793.2023.10053530
39. Editya, A.S., Ahmad, T., & Studiawan, H. (2024). Visual Instruction Tuning for Drone Accident Forensics. HighTech and Innovation Journal, 5(4), 870–884. https://doi.org/10.28991/hij- 2024-05-04-01
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Mahak, Sahil Deswal, Jaskaran Singh et al. Drone: A Smart Intelligent Framework Aiding Forensic Investigations.
Indian J Forensic Med Pathol. 2026; 19(2): 223-235
This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.
This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.