Investigation of Especially Grave Crimes using Laser Scanning Technology to Reproduce the Dynamics of Events
It has traditionally been challenging to investigate grave crimes due to the vast amount of evidence and the situation. Newer technologies, especially laser scanning, have transformed crime scene reconstruction by producing accurate, high-detail models. This study demonstrates an innovative approach to how laser scanning enables a clear understanding of the occurrence of serious crimes, thereby enhancing the technical and legal processes in the criminal justice system. This study aimed to investigate the feasibility of laser scanning for accurate crime scene reconstruction. The study devised a robust forensic analysis protocol using 3D scanning, point cloud analysis (PCA), and comparative reconstruction. This means the certainty of the reconstruction and the account of events derived from high-resolution 3D models improved considerably. Laser scanning allows for extensive accuracy and high reliability, benefiting the analysis of crime-scene data and arguments presented in court. A new benchmark for excellence in forensic investigation research is set forth, significantly through the latest techniques and by considering the legal context to establish parameters to assess evidentiary value. Future research may focus on improving techniques to increase data accuracy, developing automated algorithms for faster crime scene reconstruction, and enhancing the portability of scanning devices for fieldwork. The study also emphasizes standardizing protocols and legal frameworks that ensure the admissibility of laser scans in a court of law. Additionally, further research needs to be extended to other crime types and jurisdiction regions to confirm this technology's universal applicability.
Authors
- Сергій Павленко (ORCID: https://orcid.org/0000-0002-6108-9462)
- Volodymyr Sevruk (ORCID: https://orcid.org/0000-0003-3444-9706)
- Ihor Demidov
- Andriy Tymchyshyn
- Vadym Filashkin
Institutions
- Interregional Academy of Personnel Management (UA)
- National Academy of Internal Affairs (UA)
Publication Details
- Journal
- WSEAS TRANSACTIONS ON SYSTEMS
- Published
- 2025-04-01
- DOI
- https://doi.org/10.37394/23202.2025.24.11
- Primary Topic
- Forensic Fingerprint Detection Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00