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Automated Visitor Record System

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@article{IJASEIT1353,
   author = {Fadhlan Hafizhelmi Kamaru Zaman and Ahmad Asari Sulaiman and Syahrul Afzal Che Abdullah and Mohd Fuad Abdul Latip and Zairi Ismael Rizman},
   title = {Automated Visitor Record System},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {7},
   number = {5},
   year = {2017},
   pages = {1784--1789},
   keywords = {automated systems; computer vision; face similarity; RFID technology.},
   abstract = {As normally practiced, the information of visitor is recorded manually by either the visitor or the guard when the visitor arrives at the guard house. This manual process takes large amount of time and involves tedious works. Furthermore, it is prone to fraudulent information provided by visitors and occasionally interferes with guard’s actual job in securing the area. This paper aims to provide an automated solution to these aforementioned problems. We address these problems by replacing the existing manual way of recording visitor information by an automated and fully computerized system. The solution proposed uses Radio-Frequency Identification (RFID), smart card information retrieval as well as computer vision and image processing to record and manage visitors’ data. To evaluate the similarity between face images from camera and National Registration Identification Card (NRIC), we propose a method to find dissimilarity index between the faces. We found that the system minimizes the need for human interventions, improves the time required during recording of visitors’ information as well as efficiently manages and analyses visitors’ records. Additionally, our proposed method for finding face similarity yields a promising result of TPR = 0.914 and FPR = 0.140 when tested using publicly available face dataset called AR Dataset. The system is able to minimize the need for guard and visitor interventions, improves the time required during recording of visitors’ information especially for recurring visits and also capable of securely and efficiently manages and analyses visitors’ records.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1353},
   doi = {10.18517/ijaseit.7.5.1353}
}

EndNote

%A Kamaru Zaman, Fadhlan Hafizhelmi
%A Sulaiman, Ahmad Asari
%A Che Abdullah, Syahrul Afzal
%A Abdul Latip, Mohd Fuad
%A Rizman, Zairi Ismael
%D 2017
%T Automated Visitor Record System
%B 2017
%9 automated systems; computer vision; face similarity; RFID technology.
%! Automated Visitor Record System
%K automated systems; computer vision; face similarity; RFID technology.
%X As normally practiced, the information of visitor is recorded manually by either the visitor or the guard when the visitor arrives at the guard house. This manual process takes large amount of time and involves tedious works. Furthermore, it is prone to fraudulent information provided by visitors and occasionally interferes with guard’s actual job in securing the area. This paper aims to provide an automated solution to these aforementioned problems. We address these problems by replacing the existing manual way of recording visitor information by an automated and fully computerized system. The solution proposed uses Radio-Frequency Identification (RFID), smart card information retrieval as well as computer vision and image processing to record and manage visitors’ data. To evaluate the similarity between face images from camera and National Registration Identification Card (NRIC), we propose a method to find dissimilarity index between the faces. We found that the system minimizes the need for human interventions, improves the time required during recording of visitors’ information as well as efficiently manages and analyses visitors’ records. Additionally, our proposed method for finding face similarity yields a promising result of TPR = 0.914 and FPR = 0.140 when tested using publicly available face dataset called AR Dataset. The system is able to minimize the need for guard and visitor interventions, improves the time required during recording of visitors’ information especially for recurring visits and also capable of securely and efficiently manages and analyses visitors’ records.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1353
%R doi:10.18517/ijaseit.7.5.1353
%J International Journal on Advanced Science, Engineering and Information Technology
%V 7
%N 5
%@ 2088-5334

IEEE

Fadhlan Hafizhelmi Kamaru Zaman,Ahmad Asari Sulaiman,Syahrul Afzal Che Abdullah,Mohd Fuad Abdul Latip and Zairi Ismael Rizman,"Automated Visitor Record System," International Journal on Advanced Science, Engineering and Information Technology, vol. 7, no. 5, pp. 1784-1789, 2017. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.7.5.1353.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Kamaru Zaman, Fadhlan Hafizhelmi
AU  - Sulaiman, Ahmad Asari
AU  - Che Abdullah, Syahrul Afzal
AU  - Abdul Latip, Mohd Fuad
AU  - Rizman, Zairi Ismael
PY  - 2017
TI  - Automated Visitor Record System
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 7 (2017) No. 5
Y2  - 2017
SP  - 1784
EP  - 1789
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - automated systems; computer vision; face similarity; RFID technology.
N2  - As normally practiced, the information of visitor is recorded manually by either the visitor or the guard when the visitor arrives at the guard house. This manual process takes large amount of time and involves tedious works. Furthermore, it is prone to fraudulent information provided by visitors and occasionally interferes with guard’s actual job in securing the area. This paper aims to provide an automated solution to these aforementioned problems. We address these problems by replacing the existing manual way of recording visitor information by an automated and fully computerized system. The solution proposed uses Radio-Frequency Identification (RFID), smart card information retrieval as well as computer vision and image processing to record and manage visitors’ data. To evaluate the similarity between face images from camera and National Registration Identification Card (NRIC), we propose a method to find dissimilarity index between the faces. We found that the system minimizes the need for human interventions, improves the time required during recording of visitors’ information as well as efficiently manages and analyses visitors’ records. Additionally, our proposed method for finding face similarity yields a promising result of TPR = 0.914 and FPR = 0.140 when tested using publicly available face dataset called AR Dataset. The system is able to minimize the need for guard and visitor interventions, improves the time required during recording of visitors’ information especially for recurring visits and also capable of securely and efficiently manages and analyses visitors’ records.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1353
DO  - 10.18517/ijaseit.7.5.1353

RefWorks

RT Journal Article
ID 1353
A1 Kamaru Zaman, Fadhlan Hafizhelmi
A1 Sulaiman, Ahmad Asari
A1 Che Abdullah, Syahrul Afzal
A1 Abdul Latip, Mohd Fuad
A1 Rizman, Zairi Ismael
T1 Automated Visitor Record System
JF International Journal on Advanced Science, Engineering and Information Technology
VO 7
IS 5
YR 2017
SP 1784
OP 1789
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 automated systems; computer vision; face similarity; RFID technology.
AB As normally practiced, the information of visitor is recorded manually by either the visitor or the guard when the visitor arrives at the guard house. This manual process takes large amount of time and involves tedious works. Furthermore, it is prone to fraudulent information provided by visitors and occasionally interferes with guard’s actual job in securing the area. This paper aims to provide an automated solution to these aforementioned problems. We address these problems by replacing the existing manual way of recording visitor information by an automated and fully computerized system. The solution proposed uses Radio-Frequency Identification (RFID), smart card information retrieval as well as computer vision and image processing to record and manage visitors’ data. To evaluate the similarity between face images from camera and National Registration Identification Card (NRIC), we propose a method to find dissimilarity index between the faces. We found that the system minimizes the need for human interventions, improves the time required during recording of visitors’ information as well as efficiently manages and analyses visitors’ records. Additionally, our proposed method for finding face similarity yields a promising result of TPR = 0.914 and FPR = 0.140 when tested using publicly available face dataset called AR Dataset. The system is able to minimize the need for guard and visitor interventions, improves the time required during recording of visitors’ information especially for recurring visits and also capable of securely and efficiently manages and analyses visitors’ records.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1353
DO  - 10.18517/ijaseit.7.5.1353