Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{168938,
        author = {Gadiraju Shravani Nirupama},
        title = {Advances in Forensic Bloodstain Pattern Analysis: A Review of Current Methods and Future Directions},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {5},
        pages = {2366-2370},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=168938},
        abstract = {Forensic bloodstain pattern analysis (BPA) is a crucial tool in crime scene investigation. Recent advancements in digital imaging, computational modeling, and machine learning have significantly improved BPA. This review synthesizes current research on BPA, highlighting advances in bloodstain classification, pattern interpretation, and reconstruction. Applications in crime scene reconstruction and court proceedings are discussed.
The fundamental essence of BPA lies in meticulously analyzing the form and dispersion patterns of bloodstains found at crime scenes., which aids investigators in comprehending the deposition of blood on evidence and shedding light on the movements and positions of the individuals and objects involved during the incident.
These advancements have increased the reliability and accuracy of BPA, aiding investigators in reconstructing crime scenes and informing court proceedings. Future research directions include integrating machine learning and computational modeling into BPA software and developing standardized protocols for digital imaging and documentation.},
        keywords = {Forensic bloodstain pattern analysis, crime scene investigation, digital imaging, computational modeling, machine learning.},
        month = {October},
        }