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@article{180023,
        author = {Shivangi Rao and Shubham Rai},
        title = {UAV-Acquired 3D Reconstruction of Crime Scene for comprehensive Forensic Crime Scene Documentation},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {45-56},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180023},
        abstract = {The integration of Unmanned Aerial Vehicles (UAVs) in forensic science has revolutionized the documentation and analysis of crime scenes. This research explores the use of UAV-acquired 3D reconstruction for comprehensive crime scene documentation, highlighting its advantages over traditional manual photography. UAVs equipped with advanced sensors such as LiDAR, multispectral cameras, and high-resolution imagery capture large-scale crime scenes with high spatial accuracy, offering enhanced aerial perspectives and rapid data collection. The generated 3D models and orthomosaics provide detailed, georeferenced documentation that supports precise crime scene analysis and reconstruction. In contrast, manual ground-based photography, while essential for capturing close-range evidence, is limited in coverage and time-consuming. This study compares the strengths and weaknesses of both UAV-based imaging and traditional manual photography and also elaborates on the procedure of using drones for crime scene documentation. It emphasizes how the integration of these two methods can provide a more holistic and efficient forensic documentation process. The findings suggest that UAV-acquired 3D reconstruction significantly improves the accuracy, speed, and depth of crime scene documentation, thereby aiding forensic investigations and ensuring reliable evidence presentation in legal proceedings.},
        keywords = {Drone, Camera, Photography, Crime Scene, Reconstruction, 3D model, Evidences},
        month = {June},
        }