IoT Based Smart Visitor Entry And Monitoring System For College Campuses

Authors: Arjun Manoj, Christin Benny, Ninz Milka Loji, Sona Anna Koshy, Dr. Abin T. Abraham

Abstract: In educational institutions, hospitals, corporate of- fices, and other secure environments, the conventional handwrit- ten visitor register system poses significant challenges including manual errors, lack of verification, time-consuming processes, and inadequate security measures. The IoT-based Smart Visitor Entry System addresses these critical issues by introducing a fully automated, secure, and efficient digital solution that transforms visitor management through modern technology. The system operates through an intuitive touchscreen kiosk interface on an Android tablet. As soon as a visitor approaches the kiosk, a webcam integrated with facial recognition technology powered by OpenCV automatically captures their photograph and scans the database for matching records. If the visitor has previously registered, their name and phone number are automatically retrieved and pre-filled in the form, significantly reducing entry time and enhancing user convenience. For first-time visitors, the system prompts them to manually enter their name and phone number. In both cases, visitors must specify their purpose of visit. To ensure authenticity, an OTP (One-Time Password) is sent to the visitor’s registered phone number for verification. Upon successful OTP validation, the entry is logged with a timestamp, creating a comprehensive digital record of each visit. The software architecture is built using Python and the Flask web framework for backend operations. OpenCV enables real- time face detection, facial recognition, and image capture. All visitor data are securely stored in a local SQLite database. A key feature is the administrator dashboard, which provides authorized personnel with complete control and visibility over visitor records. The system enhances security by addressing mul- tiple vulnerabilities in traditional visitor management through facial recognition, real-time OTP verification, and comprehensive digital audit trails, significantly improving operational efficiency while enhancing security and accountability.