Dual-Authentication Smart Campus Access System Based on Barcode and Real-Time Face Recognition

DOI

No DOI

Published In

Volume 7, Issue 2 (2026)

Published Online

March-April 2026

Pages

321-325

Article Type

Original Article

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Traditional campus attendance systems rely on manual recording, which is inefficient, error-prone and vulnerable to credential fraud. This paper develops a web-based smart campus entry attendance system with dual-authentication combining barcode identification and real-time facial recognition. The system is built with Node.js, Express.js and MongoDB, and uses OpenCV for real-time face verification. Experimental results show that the system achieves 99% recognition accuracy and completes each verification within one second. The dual-authentication mechanism effectively improves access security and reduces unauthorized access. This work provides a low-cost, efficient and contactless solution for campus attendance management, with good practical value for educational institutions.