Safety and security are paramount for institutions and crucial for enforcing rules and maintaining order. The effectiveness of entrance gate security profoundly influences these factors. An automated entry–exit system is proposed to address the challenges posed by the prevalent open-gate system in any institute like NITT where the manual recording of entry and exit is still in practice. Objectives include enhancing safety for campus residents, implementing a non-contact entry system, facilitating smooth vehicle entry, and minimizing waiting times, particularly amid any pandemic. Additionally, the system aims to improve access control by restricting entry to authorized individuals only, thus reducing the risk of unauthorized access. Efficient data management is prioritized by integrating RFID, QR-based authentication, and Facial Recognition with an SVM classifier. This ensures accurate recording and monitoring of entry and exit activities, enabling effective analysis and reporting for security purposes. Furthermore, integrating non-contact technology enhances security measures and reduces the potential for disease transmission, given any pandemic, making it a crucial aspect of modern campus management systems.