Entrance Guard System Research Articles

Design of Face Recognition Access Entrance Guard System with Mask Based on Embedded Development

This paper investigates all kinds of access entrance guard control systems at home and abroad and analyzes their advantages and disadvantages. COVID-19 epidemic has a serious impact on life, travel must wear a mask, so that the access entrance guard control system can not carry out face recognition under the mask. In view of this kind of situation, an embedded face recognition access entrance guard control system with mask based on EAIDK-310 development board is designed. The system can complete face recognition and body temperature measurement without contact, and drive the motor to open the gate. After testing, the system is suitable for deployment in companies, communities, campuses and other small application scenarios. It is convenient to travel and can reduce the impact of the epidemic.

Construction and implementation of Shandong University entrance guard system based on face recognition

Due to the feature of special uniqueness and stability, face recognition has been widely used in more and more industries. As a typical biometric technology, it's quite suitable for the normalized epidemic prevention and control. At present, face recognition has become a popular research in the door security system. This paper introduces the current development of face recognition at home and abroad, and draws the conclusion that the door security construction in Shandong University can strengthen the campus security and refined management as well as releasing manpower and reducing management costs. Based on analysis of different situations, this paper briefly describes the authentication process of door security system based on face recognition and campus card, elaborates the system structure consisted of the face recognition terminal, ID registration terminal, door security management platform, appointment platform and original third-party door security system. Finally, it's concluded that dynamic scene detection and face tracking and recognition at different points can provide effective new concepts and approaches for the public health in the future.

Design of a multifunctional entrance guard system using GSM and fingerprint identification

Conventional entrance guard systems have monotonous functions. This paper designs an entrance guard system that takes the STM32 single chip machine as the control center and has the fingerprint identification module, GSM short-messaging module, the call notification module to realize local and remote unlocking (door opening) operations. Touch display screens and the STemWin graphics software are combined to design the human-computer interaction interface. The external memory module is designed to record the unlocking time and the historical data about the door opener. This designed system has diverse functions, secure, convenient for operations and can realize visualization of human computer interaction.

Joint Identification Method Research of Access System Base on RFID and 3D Face Recognition

In this paper, the main contents of radio frequency identification, 3D(three-dimensional) face recognition, associative recognition algorithm based on radio frequency and 3D face recognition. The associative recognition method combined with radio frequency identification and 3D face recognition proposed in the paper, It can combine the advantages of stable radio frequency identification and high recognition rate and the advantages of 3D face recognition identity security to achieve the purpose of security, high recognition rate and strong operability of the entrance guard system. Therefore, it has broad application prospects in the access control system.

Research on the Application of Face Recognition Technological Access Control System to Optimize College Apartment Management

with the information and network technology becoming increasingly prevalent in the 21st century, more and more people attach great importance to the use of technology to realize the authentication concerning the people’s identity, especially the access control system that has developed in recent years, which has received the extensive concern of the whole society. In the past, the management of college apartment management relies solely on the related staff who are in charge of managing the dormitory, which could not accurately verify the identity of the visitors. The entrance guard system based on the application of the biological characteristics identification technology in practice has become the mainstream, being convenient in image acquisition, low cost, it can conduct the most direct as well as the most natural means with the help of the biological characteristics, meanwhile, it could also optimizes the current university apartment management, guarantee the safety of campus management. This paper will take the advantage of the face recognition technology to analyze and discuss the optimization of face recognition technology for the college apartment management.

Application of Wireless Sensor in Entrance Guard System

Networks adopt a variety of means in the current entrance guard system such as telephone line, bus, dedicated line, wireless. This paper studies on wireless, which can overcome the disadvantages of other networks and also has two advantages.

An Embedded Iris Image Acquisition Research

<p>In view of the limitation of traditional identification, it is easy to lose and copy keys, cards or ID cards, and it is easy to forget the password. Here, an embedded application system was designed based on the iris identification technology, the functions of gathering, inputing, and registering the iris information and identification can be realized. The system architecture was designed by using the embedded microprocessor of advanced RISC machines (ARM), which is used as the core. The iris sensor was used to gather the iris information, and the development of software was accomplished with the embedded OS Windows CE. The system can be used on the company entrance guard system, customs security of airport and criminal identification.</p>

Markerless Motion Capture for Entrance Guard Systems

In recent years, markerless motion capture is used to track human motions in a wide range of applications, from entertainment to surveillance. The markerless-based technology is more flexible and less cumbersome in comparison with marker-based optical systems. In this paper, we present a practical markerless motion capture method and make use of motion estimation for developing an entrance guard system. In the first step, a binary image is calculated to carry out background subtraction and region partition. Afterwards, we reconstruct an articulated skeleton model to measure the model-to-image similarity with the binary image in order to possess locations of the specific end joints. In addition, a decision tree is defined in advance to facilitate pose estimation. As a result, a valid or invalid command can be determined to control the door lock through the proposed entrance guard system. In our experiments, we demonstrate that our method is feasible to capture human motions and is applicable to the entrance guard system.

Unsupervised Spectral Regression Learning for Pyramid HOG

Applying the original raw data to machine learning will bring in a poor performance, because so many features are not necessary and redundant. Extracting a small number of good features will be an important issue, and it can be solved by using dimensionality reduction techniques. However, the popular dimensionality reduction method will suffer from the eigen-decomposition of dense matrix problem which is expensive in memory and time. We adopt unsupervised (unlabeled) spectral regression method for dimensionality reduction, which well avoids the problem of dense matrix eigen-decomposition problem and can be applied on large scale data sets. Histograms of Oriented Gradients (HOG) are robust features which not only well characterize the local shape and appearance but also show a certain degree of local optical and geometry invariance. In order to characterize the local shape and appearance better, we extract a three-tier pyramid HOG descriptor vector for one sample. Then we adopt the unsupervised spectral regression method for dimensionality reduction on these descriptor vectors. Our algorithm can be applied in the library entrance guard system of university and other research fields. Several experiments on well-known face databases have shown good performance and good invariance against illumination, occlusion and local deformation, etc.

Campus Tracking System Based on IoT

A new campus tracking system to solve the problem of campus thefts based on IoT is presented in this paper. The data of RFID tags was collected by FRID reader and transmitted over short distance by ZigBee. Then the data was transferred to PC, which was connected to ZigBee coordinator node and transferred to the user or administrator through campus network at last. The user or administrator landed tracking system to select items by the entrance guard system or not. Therefor valuables were ensured in security and the thief would be blocked. If the thief forced the goods out entrance guard system, Beidou navigation chip embedded objects would be opened, and goods would be tracked with the Beidou navigation system. Experimental results show that the system can manage campus valuables intelligently.

An application of KPCA and SVM in the human face recognition

Face Recognition technology is a very important biological feature Recognition technology. Face Recognition is more and more researchers' attention, especially the principal Component Analysis method (Principle Component Analysis, PCA) after the application of Face Recognition, Face Recognition application domain expands unceasingly in daily life, such as immigration, entrance guard system, the Olympic security, airport security checks, etc. Although the face recognition system has better recognition effect has been achieved, but still by illumination, posture, facial expression change, hairstyle, with or without glasses, and the influence of various factors such as aging. Therefore, in this paper, the study of face recognition technology, has important theory significance and practical application value.A face recognition method that based on KPCA and SVM is proposed in this paper.

The Research of Mobile phone Entrance Guard System Model based on the Encryption Two-dimensional Code

This article designs a new mobile-phone entrance guard system, uses the encryption two-dimensional code for identity authentication. Different from other similar products in the market, this system does not rely on specialized mobile phone card or NFC (near field communication) module. It can be directly realized through mobile-phone software, and it can be operated simple and safer. This article designs the whole system model, includes structure, function and workflow. It also analyzes and researches the main algorithms used in the system, which include security policy algorithm, encryption two-dimensional code algorithm and image recognition algorithm. Finally, it provides the solution method for the problem in the experimental simulation. It also evaluated and summarized the experimental results. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3281

Design of an Intelligent Entrance Guard System with Multiple Identity Authentication

This paper has proposed a kind of intelligent entrance guard system, which is based on 32 bit ARM7TDMI embedded system combined with RFID technology. By expanding sound alarm, display and communication module inside, RF, camera module and fingerprint module outside, it can realize multiple identity authentication, so the security and protection ability of the entrance guard system get enhanced.

Implementation of Data Synchronous Tracking Between Entrance Guard System and Integrated Management System in Library——A Case Study of Ludong University Library

Implementation of Data Synchronous Tracking Between Entrance Guard System and Integrated Management System in Library——A Case Study of Ludong University Library

Development of A Decentralized Telehomecare Monitoring System

Although the usefulness of telehomecare has been recognized, and all technologies required are readily available, expectations for its widespread adoption have not been realized. This paper presents the development of a portable telehomecare monitoring system (PTMS). What sets this work apart from most other systems is the focus on a highly decentralized monitoring model and the portable nature of the system. We believe that this is the approach that is needed to make such systems economically viable and acceptable to the end-users. The PTMS is a decentralized system, in which a single household is the fundamental unit for sensing, data transmission, data storage and analysis. It is not necessary to subscribe service from a health welfare center, and the infrastructure required is minimal, too. Equipped with different sensors, the PTMS can be used for long-term personal health data management in a home environment, and it can be easily implemented in a home environment at very low cost. Similar to the largescale telehomecare systems, the PTMS also provides caregivers with convenient access to the health data and real-time event-driven messages in urgent situations. Several PTMS applications are described in this paper, including environmental monitoring, monitoring of activities of daily living, a radiofrequency identification (RFID)-based entrance guard system, sleep quality monitoring, vital sign parameter monitoring, and a tele-presence robot.