Usage of micro UAV for forensic photogrammetry.

In recent years, Micro Unmanned Aerial Vehicle (UAV) has been utilized in numerous fields of activities. It is particularly useful in land-use projects where time and cost are critical to its viability. In the field of forensic science, the application of photogrammetry is crucial in the 3-Dimension...

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Main Authors: Mohd. Ariff, Mohd. Farid, Razali, Ahmad Firdaus, Sazaly, Alysa Nur
Format: Article
Language:English
Published: Penerbit UTM Press 2022
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Online Access:http://eprints.utm.my/104609/1/AlysaNurSazalyMohdFaridMohdAriffAhmadFirdausRazali2022_UsageofMicroUAVforForensicPhotogrammetry.pdf
http://eprints.utm.my/104609/
https://oiji.utm.my/index.php/oiji/article/view/223
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spelling my.utm.1046092024-02-21T08:28:17Z http://eprints.utm.my/104609/ Usage of micro UAV for forensic photogrammetry. Mohd. Ariff, Mohd. Farid Razali, Ahmad Firdaus Sazaly, Alysa Nur Q Science (General) QR Microbiology In recent years, Micro Unmanned Aerial Vehicle (UAV) has been utilized in numerous fields of activities. It is particularly useful in land-use projects where time and cost are critical to its viability. In the field of forensic science, the application of photogrammetry is crucial in the 3-Dimensional (3D) reconstruction of a crime scene where the details in distance, position and perspective are key elements of the model which provide aid to the forensic team or investigators, lawyers and insurance adjusters. Conventionally, the usage of digital camera such as Digital Single-Lens Reflex (DSLR) in forensic photogrammetry pose setbacks as the crime scene has the risk of being tempered whilst images of the site are being captured. By launching Micro UAV at a crime scene, the site is preserved whilst the evidence is being captured. This will ensure the integrity of the evidence is maintained even long after the on-scene investigation has concluded. This data is valuable since it may take months for an investigator to re-examine a scene and find a new piece of important evidence. The methodology of this study is to collect data on a simulated crime scene, particularly in a constraint area using Micro UAV and process the data using photogrammetry software which will produce a 3D model point cloud. The data will then be compared against data produced using Terrestrial Laser Scanner (TLS) as the primary comparison and Vernier Calliper (VC). The result shows that the Root Mean Square Error (RMSE) of Micro UAV against TLS is ±1.698mm. In conclusion, it is feasible to use Micro UAV for forensic photogrammetry in a constrained crime scene and produce a high-accuracy 3D model point cloud. Penerbit UTM Press 2022-12-15 Article PeerReviewed application/pdf en http://eprints.utm.my/104609/1/AlysaNurSazalyMohdFaridMohdAriffAhmadFirdausRazali2022_UsageofMicroUAVforForensicPhotogrammetry.pdf Mohd. Ariff, Mohd. Farid and Razali, Ahmad Firdaus and Sazaly, Alysa Nur (2022) Usage of micro UAV for forensic photogrammetry. Open Internationaljournal Ofinformatics(OIJI), 10 (2). pp. 12-23. ISSN 2289-2370 https://oiji.utm.my/index.php/oiji/article/view/223
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic Q Science (General)
QR Microbiology
spellingShingle Q Science (General)
QR Microbiology
Mohd. Ariff, Mohd. Farid
Razali, Ahmad Firdaus
Sazaly, Alysa Nur
Usage of micro UAV for forensic photogrammetry.
description In recent years, Micro Unmanned Aerial Vehicle (UAV) has been utilized in numerous fields of activities. It is particularly useful in land-use projects where time and cost are critical to its viability. In the field of forensic science, the application of photogrammetry is crucial in the 3-Dimensional (3D) reconstruction of a crime scene where the details in distance, position and perspective are key elements of the model which provide aid to the forensic team or investigators, lawyers and insurance adjusters. Conventionally, the usage of digital camera such as Digital Single-Lens Reflex (DSLR) in forensic photogrammetry pose setbacks as the crime scene has the risk of being tempered whilst images of the site are being captured. By launching Micro UAV at a crime scene, the site is preserved whilst the evidence is being captured. This will ensure the integrity of the evidence is maintained even long after the on-scene investigation has concluded. This data is valuable since it may take months for an investigator to re-examine a scene and find a new piece of important evidence. The methodology of this study is to collect data on a simulated crime scene, particularly in a constraint area using Micro UAV and process the data using photogrammetry software which will produce a 3D model point cloud. The data will then be compared against data produced using Terrestrial Laser Scanner (TLS) as the primary comparison and Vernier Calliper (VC). The result shows that the Root Mean Square Error (RMSE) of Micro UAV against TLS is ±1.698mm. In conclusion, it is feasible to use Micro UAV for forensic photogrammetry in a constrained crime scene and produce a high-accuracy 3D model point cloud.
format Article
author Mohd. Ariff, Mohd. Farid
Razali, Ahmad Firdaus
Sazaly, Alysa Nur
author_facet Mohd. Ariff, Mohd. Farid
Razali, Ahmad Firdaus
Sazaly, Alysa Nur
author_sort Mohd. Ariff, Mohd. Farid
title Usage of micro UAV for forensic photogrammetry.
title_short Usage of micro UAV for forensic photogrammetry.
title_full Usage of micro UAV for forensic photogrammetry.
title_fullStr Usage of micro UAV for forensic photogrammetry.
title_full_unstemmed Usage of micro UAV for forensic photogrammetry.
title_sort usage of micro uav for forensic photogrammetry.
publisher Penerbit UTM Press
publishDate 2022
url http://eprints.utm.my/104609/1/AlysaNurSazalyMohdFaridMohdAriffAhmadFirdausRazali2022_UsageofMicroUAVforForensicPhotogrammetry.pdf
http://eprints.utm.my/104609/
https://oiji.utm.my/index.php/oiji/article/view/223
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score 13.160551