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Special Topic | Publishing Language: Chinese | Open Access

Exploring the Application Prospects of Artificial Intelligence Technology in the Identification and Reconstruction of Crime Scene Elements

Shengdong YAN1Weijun DU2Silu PENG1Xiangchao MENG1Pengda XIE1Mingzhi WANG1Guan LI3Yi SHI1( )
Institute of Forensic Science, Ministry of Public Security, Beijing 100038, China
Institute of Forensic Science, Criminal Investigation Division of Pudong Branch of Shanghai Public Security Bureau, Shanghai 200120, China
Computer Network Information Center, Chinese Academy of Sciences, Beijing 100069, China
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Abstract

This paper explores the progress of artificial intelligence technology in the identification and reconstruction of crime scene elements. With the development of information technology, there are challenges faced by crime scene element identification and reconstruction. The paper discusses the application benefits of artificial intelligence, the relevant applications of artificial intelligence in forensic examination, and outlines the key steps of artificial intelligence in crime scene element identification and reconstruction, to explore the possibility of applying this method to crime scene element identification and reconstruction. Finally, the paper looks forward to the future development of artificial intelligence in forensic examination and suggests that it may play an important role in improving the intelligence level of crime scene examination and increasing the efficiency of case investigation. It is hoped that relevant research will provide a solution for the technical transformation of crime scene examiners and lay a foundation for the intelligent and digital development of forensic technology.

CLC number: DF793.5 Document code: A Article ID: 1008-3650(2025)01-0016-05

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Forensic Science and Technology
Pages 16-20

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Cite this article:
YAN S, DU W, PENG S, et al. Exploring the Application Prospects of Artificial Intelligence Technology in the Identification and Reconstruction of Crime Scene Elements. Forensic Science and Technology, 2025, 50(1): 16-20. https://doi.org/10.16467/j.1008-3650.2025.1003

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Received: 26 September 2024
Revised: 13 December 2024
Published: 15 February 2025
© 2025 The Editorial Office of Forensic Science and Technology

This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0, http://creativecommons.org/licenses/by/4.0/).