Development and Implementation of a Bio-Sensing Technology-Based Access Control System for Enhanced Security and Biotechnology Applications

Abstract

This study explores the development of an intelligent access control system utilizing bio-sensing technology to enhance security and operational efficiency. The performance evaluation indices of biometric systems are analyzed, focusing on fingerprint recognition, facial recognition, and finger vein recognition technologies. These technologies are integrated to create a composite biometric access control system, emphasizing system architecture, technical structure, and security design. The system's biometric performance is assessed using established performance indices, while functionality and robustness are evaluated through black-box testing and LoadRunner simulations. Results demonstrate that as test samples increase, the false rejection rate of biometric recognition rises slightly by approximately 0.8%. The system achieves an overall security level of 92%, with stability and recognition accuracy rates exceeding 96%. The success rate of manual key-based door access is 100%, with an average response time of 1.3 seconds. The automated door-opening success rate is 94%, with an average response time of 2.4 seconds. This research highlights the potential of bio-sensing technology in advancing access control systems, offering improved security and reliability. The findings underscore the scalability and applicability of biotechnology-driven solutions in enhancing safety and efficiency in access management systems.