SMART COLLEGE SECURITY:AI-POWERED IDCARD VIOLATION AND FACE RECOGNITIONSYSTEM

Computer science

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

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