Design of Multi-Functional Access Control System

Abstract

Facial recognition is a biometric recognition technology that verifies identity using information about human facial features so it is used for access control systems. Current access control systems are implemented using traditional RFID technology or keys. Users must carry an access card or key and the access card or a key can be forgotten, lost or copied by others to use an access control system. This study proposes a multi-function facial recognition access control system that uses Python and RFID.The system's facial recognition scheme uses Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) facial recognition algorithms. This addresses a problem with current facial recognition technology, which achieve good results for different facial models under different lighting conditions. To render the system more user-friendly and versatile, the system requires swiping and a password. The RFID access control function uses a high frequency (13.56 MHz) and the ISO/IEC14443-3 protocol is used for data communication between the access card and the card reader. Using a dynamic binary search algorithm, the password is saved and read using an EEPROM.This study uses a combination of software and hardware to allow double confirmation, which increases the stability and accuracy of the system.

Efficient Entry: A Stateful Authentication Approach in Health-Aware Smart Gate Systems

“…Stateful authentication is particularly beneficial for ensuring secure access to servers through firewalls, enhancing efficiency by using tokens or similar methods for continuous authentication. It finds its application in various advanced fields, such as Ad hoc networks, Blockchain technology, and 5G networks [12], [28], [29], [30], [31]. Beyond its conventional use in logical security, No efforts were taken to extend stateful authentication to physical security measures, such as smart gates, aiming to boost efficiency without compromising safety.…”

Design Recommendations for Gate Security Systems and Health Status: A Systematic Review

“…Reference [41] designed a multifactor authentication approach that mainly relies on face recognition. They used PCA and linear discriminant analysis to improve the model's accuracy.…”

“…Connectivity, not published results [31] Improved reading time [32] Combined with RFID to enhance security Sensitive to sunlight [3] Enhanced security using blockchain. [33] Accuracy 95%, Short distance 60-120cm, response time 1.21hardware response [34] Response 4.6, low accuracy 80% [2] 94% accuracy, distance better 25-75cm [38] Accuracy 97.8% [39], [40] Low-cost camera Need Wifi [41], [42], [43] Recognition under different lighting conditions, alternative options (card and password), 98.9% accurate Speed [44], [45] Investigated order to authentication to improve accuracy (RFID, fingerprint, face detection) [46] Improve response distance. Low accuracy 74.6% [47] 92% accuracy Slow 14s [48] Health-centered No identity verification Reporting cases of not wearing mask, final decision by human [49] Human decision [50] Checking temperature.…”

A Low-Power Passive UHF Tag With High-Precision Temperature Sensor for Human Body Application

“…In addition, radio frequency identification (RFID) tags are widely used due to their low cost, simple structure, and convenient data reading. Nowadays, the use of RFID in various applications such as supply chain management [10], public transportation [11]- [13], and access control [14] has become an unstoppable trend [15]. Recently, the combination of RFID and sensing systems have expanded the application of RFID to environmental monitoring [16]- [23] and healthcare [24]- [25].…”