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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM52130

Criminal Eye

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM52130

Volume:

9 |

8 |

Aug 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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

DKG

Divya K G1

S

Supriya

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Abstract

Criminal Eye is an AI-powered criminal detection and management system designed to enhance law enforcement operations through centralized data handling, real-time updates, and advanced face recognition technology. The platform facilitates seamless communication between police stations and a central administration, enabling effective coordination and efficient criminal tracking. The system comprises two main modules: the Admin Module and the Police Station Module. The Admin Module provides comprehensive control over districts, cities, and police stations, allowing administrators to manage station details, oversee criminal records, and respond promptly to reports of missing criminals. The Police Station Module equips police personnel with the tools to maintain accurate and up-to-date criminal records by adding, modifying, or deleting suspect information. It also enables officers to capture and compare suspect photographs against a centralized database to identify previous offenses. This AI-driven approach empowers police agencies to make data-informed decisions, improve crime prevention efforts, and enhance overall public safety. Criminal Eye represents a significant step toward modernizing traditional crime management systems and ensuring more effective law enforcement through technological innovation.

KEYWORDS

Criminal Detection Face Matching Centralized Criminal Database Real-Time Crime Tracking Police Collaboration

Cite This Article

Divya K G1, Supriya, "Criminal Eye," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 8, Aug 2025.

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Publication Date

8/25/2025

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Double-Blind Peer Review

Review Rounds: 2

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1

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Conflict of Interest

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

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