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AI Powered Digital Forensics & Crime Investigation Supporting System
Subject area: Science,Engineering and Technology · Area of research: Artificial Intelligence
DOI: 10.64388/IREV9I10-1715859
Abstract
The increasing complexity of modern crime investigation demands intelligent systems capable of analyzing diverse data sources efficiently. This paper presents a Crime AI Support System, a multi-modal framework integrating facial emotion recognition, voice analysis, media tampering detection, and an AI-based chatbot. The system leverages computer vision, speech processing, and digital forensic techniques to provide real-time insights into emotional states and evidence authenticity. A Flask-based backend enables modular integration and efficient processing of multimedia inputs. The chatbot offers contextual assistance using a hybrid rule-based and AI-driven approach. Experimental results indicate improved accuracy in emotion detection and reliable identification of tampered media. The proposed system enhances investigative efficiency and provides effective support for victims through integrated artificial intelligence solutions.
Keywords
Artificial Intelligence, Crime Analysis, Emotion Recognition, Voice Processing, Tampering Detection, Chatbot, Digital Forensics, Multi-modal System
References
[1] T. Kopalidis, V. Solachidis, N. Vretos, and P. Daras,“Advances in Facial Expression Recognition: A Survey of Methods, Benchmarks, Models, and Datasets,” Information, vol. 15, no. 3, p. 135, Feb. 2024,
[2] H. Lian, C. Lu, S. Li, Y. Zhao, C. Tang, and Y. Zong, “A Survey of Deep Learning-Based Multimodal Emotion Recognition: Speech, Text, and Face,” Entropy, vol. 25, no. 10, p. 1440, Oct. 2023,
[3] Z. Huang et al., “A Study on Computer Vision for Facial Emotion Recognition,” Scientific Reports, vol. 13, p. 8425, May 2023, 10.1038/s41598-023-35446-4.
[4] C. Barhoumi and Y. BenAyed, “Real-Time Speech Emotion Recognition Using Deep Learning and Data Augmentation,” Artificial Intelligence Review, vol. 58, 2024.
How to cite this paper
@article{1715859,
author = {Pavithra Natarajan, Sridharan TR, Mohamed Ibrahim B, Shiva Prakhash K},
title = {AI Powered Digital Forensics & Crime Investigation Supporting System},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {10},
pages = {117-122},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1715859.pdf},
abstract = {The increasing complexity of modern crime investigation demands intelligent systems capable of analyzing diverse data sources efficiently. This paper presents a Crime AI Support System, a multi-modal framework integrating facial emotion recognition, voice analysis, media tampering detection, and an AI-based chatbot. The system leverages computer vision, speech processing, and digital forensic techniques to provide real-time insights into emotional states and evidence authenticity. A Flask-based backend enables modular integration and efficient processing of multimedia inputs. The chatbot offers contextual assistance using a hybrid rule-based and AI-driven approach. Experimental results indicate improved accuracy in emotion detection and reliable identification of tampered media. The proposed system enhances investigative efficiency and provides effective support for victims through integrated artificial intelligence solutions.},
keywords = {Artificial Intelligence, Crime Analysis, Emotion Recognition, Voice Processing, Tampering Detection, Chatbot, Digital Forensics, Multi-modal System},
month = {April},
doi = {https://doi.org/10.64388/IREV9I10-1715859}
}