AI-Driven Forensic Investigation: Automated 3D Reconstruction and Evidence Visualization
Aggregating Artificial Intelligence (AI) with forensic science has considerably enhanced the effectiveness and precision of forensic site inquiries. AI-driven systems mechanize the investigation of photographic and material evidence, producing elaborated 3D visuals and accurately rebuilding crime scenes. The model sketches a system that includes deep learning frameworks, visual intelligence, and 3D representation to speed up the investigation processes, critical proof, and verify forensic information. Also, incorporating augmented reality (AR) and virtual reality (VR) improves deep-dive analysis of rebuilt crime sites, offering an instinctive system for forensic specialists, terms of legal, and committee. The system discourses limitations like data discrepancy, resource limitations, and judicial admissibility, providing a guide for utilizing AI in forensic science.
Authors
- M. Marimuthu
- N V Keerthana
- B Suchithra
- I. Divya
- Praveen RVS
- B Vybhavi
Institutions
- Horizon College and Seminary (CA)
- KPR Institute of Engineering and Technology (IN)
- Sri Eshwar College of Engineering
Publication Details
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1109/ngise64126.2025.11085283
- Primary Topic
- Image Processing and 3D Reconstruction
- Type
- article
- Field-Weighted Citation Impact
- 0.00