Digital Forensics Investigation Tool using Machine Learning for Person Detection in Images

Authors: Vishal Srivastava, Shubh Omar, Vineet Shrivastava

Country: India

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Abstract: Large-scale analysis of digital evidence, including photographs, is frequently a part of digital forensics investigations. Image analysis by hand can be laborious and error-prone. In order to solve this, we provide a program that automates the process of recognizing photographs that contain a specific person of interest by using face detection and machine learning approaches. Our method comprises iterating over a file system, finding faces in the photos using a face detection model that has already been trained, and utilizing machine learning to compare the found faces to the features of the person of interest. In order to facilitate future analysis, the program records the file names and locations of each image containing the subject of interest. Our method can increase the precision of digital forensics investigations and is effective, scalable, and useful for forensic examiners and law enforcement organizations

Keywords: Digital Forensics, Machine Learning, Face Detection

Paper Id: 230122

Published On: 2023-05-16

Published In: Volume 11, Issue 3, May-June 2023

Cite This: Digital Forensics Investigation Tool using Machine Learning for Person Detection in Images - Vishal Srivastava, Shubh Omar, Vineet Shrivastava - IJIRMPS Volume 11, Issue 3, May-June 2023.

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