Abstract
In this new technology era, crime scene reconstruction should be enhanced with the latest technology instead of using conventional two-dimensional (2D) approach. This study expands our knowledge of how to employ iPhone LiDAR to speed up the process of gathering crime scene data. With the aim of revolutionising forensic efficiency, this study investigates the potential of iPhone LiDAR in crime scene reconstruction with conventional techniques. In this study, distometer, measuring tape, iPhone 14 Pro Max and Total Station were used for data collection. The objectives include creating a crime scene sketch by hand, converting point clouds data into a 2D drawing, and analysing measurements obtained from various techniques. In this study, Total Station was used to conduct the detail survey of the crime scene. In this study, the distometer was used for baseline measurements while the measuring tape was utilised for short distances measurements. IPhone LiDAR 14 Pro Max, which is equipped with a 3D Scanner App, was used as the proposed approach for data collection. The findings demonstrate that the manual measurements using a distometer and measuring tape are less accurate than LiDAR readings when compared with the readings acquired from the Total Station.
Metadata
| Item Type: | Article |
|---|---|
| Creators: | Creators Email / ID Num. Emri, Muhamad Fuad UNSPECIFIED Lau, Chong Luh UNSPECIFIED Razali, Mohamad Hezri hezrirazali@uitm.edu.my Idris, Ahmad Norhisyam ahmad_norhisyam@uitm.edu.my Sulaiman, Saiful Aman saifulaman@uitm.edu.my M. Idris, Khairulnizam UNSPECIFIED Abdul Ghani, Muhammad Nasri UNSPECIFIED |
| Subjects: | H Social Sciences > HV Social pathology. Social and public welfare. Criminology > Criminology > Crime H Social Sciences > HV Social pathology. Social and public welfare. Criminology > Criminal justice administration |
| Divisions: | Universiti Teknologi MARA, Shah Alam > College of Built Environment |
| Journal or Publication Title: | Built Environment Journal |
| UiTM Journal Collections: | UiTM Journals > Built Environment Journal (BEJ) |
| ISSN: | 2637-0395 |
| Volume: | 22 |
| Number: | SI |
| Page Range: | pp. 37-53 |
| Keywords: | Crime scene, Three-dimensional, LiDAR, iPhone, Laser scanning |
| Date: | July 2025 |
| URI: | https://ir.uitm.edu.my/id/eprint/126650 |
