Forensic Science Seminar
Peer-reviewed forensic science journal · Established 2011
ISSN 2157-118XFOREN SCI SEM · Volume 14

Research Paper P3

A Low-Cost and High-Efficiency Virtual Simulation Training Model for Crime Scene Investigation

Yongzhao Yang

Forensic Science Seminar · 2024 · Volume 14 · Issue 1 · pp. 9–13

Peer Reviewed ISSN 2157-118X Published online 22 December 2024
Affiliations
  1. Southwest University for Nationalities, No. 16, Section 4, South First Ring Road, Chengdu, Sichuan 610041, China.

Corresponding author: Yongzhao Yang · charlayyang@qq.com

Abstract

Abstract

This paper proposes a low-cost and high-efficiency training model for crime scene investigation (CSI) based on virtual reality (VR) technology. Traditional CSI teaching faces challenges such as high costs and limited effectiveness. VR technology, capable of simulating realistic scenarios, provides an immersive and interactive learning experience. This study explores the use of free and open-source software and platforms to create virtual investigation scenarios and employs a collaborative development model involving teachers and students to enhance resource quality and development efficiency. While the proposed model offers advantages such as low cost, high efficiency, and enhanced safety, it also faces challenges, including technical barriers, hardware limitations, and software functionality constraints. The paper concludes by proposing solutions to these challenges and discusses the application prospects of VR technology in CSI training.

Keywords: Virtual Reality; Crime Scene Investigation; Training Model; Low Cost; High Efficiency

Publication History

Received4 November 2019
Revised28 October 2024
Accepted30 October 2024
Available Online22 December 2024

Citation Information

Document codeP3 · Research Paper
JournalForensic Science Seminar
ISSN2157-118X
Volume / Issue14 / 1
Pages9–13
Publication date22 December 2024
Article HTMLhttps://fss.xxyy.info/journal/2024/2157118X.14.1.P3.html
Full text PDFhttps://fss.xxyy.info/journal/2024/2157118X.14.1.P3.pdf