Abstract
Drones, formally known as Unmanned Aerial Vehicles (UAVs), are versatile technology increasingly associated with many modern-day applications. The advancements in technology have brought about a revolution in drones, extending their applications in various fields, including forensic science. Despite their potential, the full extent of drone capabilities in forensic science remains unclear and limited by a lack of defined evidence. Therefore, this article aims to provide a comprehensive review of the current literature on the use of drones in forensic science, while also highlighting the challenges and limitations of their deployment. This review seeks to identify areas for further research and development in the use of drones in forensic science by exploring the key issues. The use of Arksey and O’Malley’s framework updated by Joanna Briggs Institute for Scoping Reviews methodology shows that drones have proven to be a valuable technology in various forensic-related events, including clandestine graves detection, crime scene investigations, traffic accident investigations, disaster assistance, and pollution detection. However, there is still inadequate information on the use of drones in forensic science, particularly in enhancing the Disaster Victim Identification (DVI) procedure during the initial phase of a disaster. Therefore, this paper aims to provide insights into the potential applications of drones in forensic science and promote their integration into related fields.
Article Highlights
The article represents the first comprehensive review that categorises drone applications in forensic science.
Deployment of drones in forensic science remains relatively limited, despite the advancement in drone technology.
Integration of external sensors and software allows drones to perform a wider range of contemporary applications.
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1 Universiti Teknologi MARA (UiTM), Sungai Buloh Campus, Jalan Hospital, Institute of Pathology, Laboratory and Forensic Medicine (I-PPerForM), Sungai Buloh, Malaysia (GRID:grid.412259.9) (ISNI:0000 0001 2161 1343); UiTM, Sungai Buloh Campus, Jalan Hospital, Faculty of Medicine, Sungai Buloh, Malaysia (GRID:grid.412259.9) (ISNI:0000 0001 2161 1343)
2 Universiti Teknologi MARA (UiTM), Sungai Buloh Campus, Jalan Hospital, Institute of Pathology, Laboratory and Forensic Medicine (I-PPerForM), Sungai Buloh, Malaysia (GRID:grid.412259.9) (ISNI:0000 0001 2161 1343); UiTM, Sungai Buloh Campus, Jalan Hospital, Faculty of Medicine, Sungai Buloh, Malaysia (GRID:grid.412259.9) (ISNI:0000 0001 2161 1343); Hospital Kuala Lumpur (HKL), National Institute of Forensic Medicine (IPFN), Kuala Lumpur, Malaysia (GRID:grid.412516.5) (ISNI:0000 0004 0621 7139)
3 Hospital Kuala Lumpur (HKL), National Institute of Forensic Medicine (IPFN), Kuala Lumpur, Malaysia (GRID:grid.412516.5) (ISNI:0000 0004 0621 7139)
4 Universiti Teknologi MARA (UiTM), Sungai Buloh Campus, Jalan Hospital, Institute of Pathology, Laboratory and Forensic Medicine (I-PPerForM), Sungai Buloh, Malaysia (GRID:grid.412259.9) (ISNI:0000 0001 2161 1343); UiTM, Sungai Buloh Campus, Jalan Hospital, Center for Oral and Maxillofacial Diagnostics and Medicine Studies, Faculty of Dentistry, Sungai Buloh, Malaysia (GRID:grid.452474.4) (ISNI:0000 0004 1759 7907)
5 Aerodyne Group, Cyberjaya, Malaysia (GRID:grid.412259.9)





