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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM46077

Criminal Investigation Tracker with Suspect Prediction Using Facial Recognition

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM46077

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM46077

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

NF

Nupur Feagde1

AR

Akash Rajput2

AU

Aniket Udgirkar3

SG

Shubhangi Gaikwad4

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Abstract

This paper presents a Criminal Investigation Tracker with Suspect Prediction Using Facial Recognition, aimed at enhancing the efficiency and accuracy of criminal investigations. The system combines a case tracking platform with facial recognition technology to assist law enforcement in identifying suspects. By matching facial features from surveillance footage or images against a database of known individuals, the system can suggest potential suspects. It also allows investigators to log and update case details in real time. The integration of facial recognition and predictive analysis improves case resolution speed, reduces manual effort, and supports data-driven decision-making in criminal investigations.

KEYWORDS

Investigation Recognition Prediction Surveillance Tracking Enforcement Analytics Detection AI Vision

Cite This Article

Nupur Feagde1, Akash Rajput2, Aniket Udgirkar3, Shubhangi Gaikwad4, "Criminal Investigation Tracker with Suspect Prediction Using Facial Recognition," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/IJSREM46077

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Publication Date

4/25/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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