GET THE APP

..

Journal of Forensic Research

ISSN: 2157-7145

Open Access

Snehalata U. Shenoy

Department of Forensic Science, Vivekananda Global University, Jaipur, Rajasthan, India

Publications
  • Review Article   
    Artificial Intelligence-Based Techniques for Crime Scene Reconstruction and Investigation: An Overview
    Author(s): Snehalata U. Shenoy*, Varad Nagar and Akhith

    Crime Scene Reconstruction (CSR) is a crucial component of criminal investigations and calls for a careful examination of the available data to pinpoint the chain of events that led to the crime. There has been an increase in the demand for using AI-based techniques for crime scene reconstruction since the advent of Artificial Intelligence (AI). We compared the developments, drawbacks, and potential applications of` AI-based crime scene reconstruction systems. We discovered that machine learning models, computer vision models, natural language processing models, deep learning models, and graph analytics models have all demonstrated considerable gains in crime scene reconstruction. However, there are also limitations to the use of AI-based techniques, including the need for large amounts of high-quality data, potential bias in the data or algorithms, and the interpretability of the res.. Read More»
    DOI: 10.37421/2157-7145.2023.14.563

    Abstract HTML PDF

Google Scholar citation report
Citations: 1817

Journal of Forensic Research received 1817 citations as per Google Scholar report

Journal of Forensic Research peer review process verified at publons

Indexed In

 
arrow_upward arrow_upward