Mobile Access Control System Based on Rfid Tags and Facial Information

Abstract

RFID tags see a widespread use in modern security systems, including home intercoms, access control cards, contactless credit cards, biometric passports. Here we focus on a single application, namely access control systems. Currently they have either high cost or low security guarantees. Hence, the developments focusing on improving access control security while lowering the cost is a rapidly developing field. The purpose of this work is to create an alternative access control scheme, where card scanners are replaced with passive RFID tags, and all of the communication is done via user's smartphone Wi-Fi. Based on the analysis of existing approaches to the development of access control systems, it was concluded that use of mobile systems is the most promising due to their expandability and presence of a large number of sensors, such as NFC, camera etc. In the proposed model RFID tags are mounted near a turnstile or a smart door. Tag reading and programming is done via NFC chip directly on an Android or iOS mobile device, which allows for a significant price cut for such a system implementation. A detailed description of a tag writing procedure with the data required to perform it is provided. To enhance security, together with smartphone-based authorization we require the user to provide his photograph while entering a secure gate. The photograph is then displayed on a monitoring dashboard side-by-side with his registration picture, so that the two can then be matched

Face Detection on Mobile: Five Implementations and Analysis

“…However, up to this point we didn't specify if there is any difference in face detection quality between different resolutions. As algorithms pre- sented in this survey have been trained on different datasets, we will conduct visual quality testing targeting mobile face control system [2]. During the experiment, we will score each algorithm from 0 to 3.…”

“…Low face detection inference time is crucial for mobile applications, such as driver sleepiness tracking, emotion recognition or mobile face access controls systems [1], [2]. However, many of the recent research papers focus on algorithm quality, disregarding inference time.…”

Control and alert mechanism of RFID door access control system using Iot

“…The Module consists of an electromagnetic reader, when the key tag or the ID card containing the RF chip is placed parallel to the electromagnetic reader (Al-Sudani et al, 2018); the reader reads the data in the chip and sends it to the module. The module after processing the data identifies the secure number embedded in the chip and provides it to the micro controller, where the microcontroller crosschecks the data from its database with the received data to know if it's an authorized member or an intruder (Khabarlak & Koriashkina, 2020).…”