A comparative analysis of reconstructive crime scene

Emri, Muhamad Fuad and Lau, Chong Luh and Razali, Mohamad Hezri and Idris, Ahmad Norhisyam and Sulaiman, Saiful Aman and M. Idris, Khairulnizam and Abdul Ghani, Muhammad Nasri (2025) A comparative analysis of reconstructive crime scene. Built Environment Journal, 22 (SI): 4. pp. 37-53. ISSN 2637-0395

Official URL: https://journal.uitm.edu.my/ojs/index.php/BEJ/

Identification Number (DOI): 10.24191/bej.v22iSI.6478

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
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