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Title: :  SMART COLLEGE SECURITY:AI-POWERED IDCARD VIOLATION AND FACE RECOGNITIONSYSTEM
PaperId: :  28230
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 12 Issue 2 2026
DUI:    16.0415/IJARIIE-28230
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Athira Thomas Holy grace academy of engineering
Adinath ManojHoly grace academy of engineering
Alka Tomy KarayilHoly grace academy of engineering
Vismaya SubashHoly grace academy of engineering

Abstract

Computer science
Artificial Intelligence, Face Recognition, Biometric Authentication, ID Card Verification, Computer Vision, Machine Learning, Smart Security System, Access Control, Campus Surveillance.
Ensuring effective security within educational institutions remains a critical challenge due to the increasing risks of unauthorized access and identity misuse. Conventional security mechanisms, primarily based on manual verification of identification cards, are often inefficient, time-consuming, and susceptible to human error. This paper presents a Smart College Security System that integrates Artificial Intelligence (AI)-based face recognition with ID card verification to enhance campus security and access control. The proposed system employs computer vision techniques to capture and analyze facial images of individuals at entry points. Extracted facial features are processed using machine learning algorithms and compared against a pre-existing database for identification. In parallel, the system verifies the associated identification card to ensure authenticity and ownership. Access is granted only when both facial recognition and ID verification are successfully validated; otherwise, the system flags the instance as a violation and triggers appropriate alerts. The integration of AI enables real-time processing, improved accuracy, and adaptability to varying environmental conditions such as illumination and facial variations. The system significantly reduces dependency on manual supervision while minimizing the risks associated with identity fraud and unauthorized access. Furthermore, it provides a scalable and efficient solution applicable to various domains, including educational institutions, corporate environments, and secure facilities. Experimental considerations indicate that the proposed system enhances operational efficiency and security reliability; however, challenges such as data privacy, system robustness under diverse conditions, and database management must be addressed for effective deployment. Overall, the system demonstrates the potential of combining biometric identification with intelligent verification mechanisms to establish a secure and automated access control framework

Citations

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IJARIIE Athira Thomas , Adinath Manoj, Alka Tomy Karayil, and Vismaya Subash. "SMART COLLEGE SECURITY:AI-POWERED IDCARD VIOLATION AND FACE RECOGNITIONSYSTEM" International Journal Of Advance Research And Innovative Ideas In Education Volume 12 Issue 2 2026 Page 837-841
MLA Athira Thomas , Adinath Manoj, Alka Tomy Karayil, and Vismaya Subash. "SMART COLLEGE SECURITY:AI-POWERED IDCARD VIOLATION AND FACE RECOGNITIONSYSTEM." International Journal Of Advance Research And Innovative Ideas In Education 12.2(2026) : 837-841.
APA Athira Thomas , Adinath Manoj, Alka Tomy Karayil, & Vismaya Subash. (2026). SMART COLLEGE SECURITY:AI-POWERED IDCARD VIOLATION AND FACE RECOGNITIONSYSTEM. International Journal Of Advance Research And Innovative Ideas In Education, 12(2), 837-841.
Chicago Athira Thomas , Adinath Manoj, Alka Tomy Karayil, and Vismaya Subash. "SMART COLLEGE SECURITY:AI-POWERED IDCARD VIOLATION AND FACE RECOGNITIONSYSTEM." International Journal Of Advance Research And Innovative Ideas In Education 12, no. 2 (2026) : 837-841.
Oxford Athira Thomas , Adinath Manoj, Alka Tomy Karayil, and Vismaya Subash. 'SMART COLLEGE SECURITY:AI-POWERED IDCARD VIOLATION AND FACE RECOGNITIONSYSTEM', International Journal Of Advance Research And Innovative Ideas In Education, vol. 12, no. 2, 2026, p. 837-841. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/SMART_COLLEGE_SECURITY_AI_POWERED_IDCARD_VIOLATION_AND_FACE_RECOGNITIONSYSTEM_ijariie28230.pdf (Accessed : ).
Harvard Athira Thomas , Adinath Manoj, Alka Tomy Karayil, and Vismaya Subash. (2026) 'SMART COLLEGE SECURITY:AI-POWERED IDCARD VIOLATION AND FACE RECOGNITIONSYSTEM', International Journal Of Advance Research And Innovative Ideas In Education, 12(2), pp. 837-841IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/SMART_COLLEGE_SECURITY_AI_POWERED_IDCARD_VIOLATION_AND_FACE_RECOGNITIONSYSTEM_ijariie28230.pdf (Accessed : )
IEEE Athira Thomas , Adinath Manoj, Alka Tomy Karayil, and Vismaya Subash, "SMART COLLEGE SECURITY:AI-POWERED IDCARD VIOLATION AND FACE RECOGNITIONSYSTEM," International Journal Of Advance Research And Innovative Ideas In Education, vol. 12, no. 2, pp. 837-841, Mar-App 2026. [Online]. Available: http://ijariie.com/AdminUploadPdf/SMART_COLLEGE_SECURITY_AI_POWERED_IDCARD_VIOLATION_AND_FACE_RECOGNITIONSYSTEM_ijariie28230.pdf [Accessed : ].
Turabian Athira Thomas , Adinath Manoj, Alka Tomy Karayil, and Vismaya Subash. "SMART COLLEGE SECURITY:AI-POWERED IDCARD VIOLATION AND FACE RECOGNITIONSYSTEM." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 12 number 2 ().
Vancouver Athira Thomas , Adinath Manoj, Alka Tomy Karayil, and Vismaya Subash. SMART COLLEGE SECURITY:AI-POWERED IDCARD VIOLATION AND FACE RECOGNITIONSYSTEM. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2026 [Cited : ]; 12(2) : 837-841. Available from: http://ijariie.com/AdminUploadPdf/SMART_COLLEGE_SECURITY_AI_POWERED_IDCARD_VIOLATION_AND_FACE_RECOGNITIONSYSTEM_ijariie28230.pdf
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