Face recognition for security efficiency in managing and monitoring visitors of an organization

Satari, Behzad Shoarian; Rahman, Nor Azlina Abd; Abidin, Zety Marla Zainal

doi:10.1109/isbast.2014.7013101

Cited by 15 publications

(3 citation statements)

References 1 publication

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“…Users can print, delete, or save the visitor's photo. Satari et al [13] proposed an FR-based authentication system to control and track entries to an organization. This system is divided into web-based and LAN-based systems.…”

Section: Related Workmentioning

confidence: 99%

Customer Profiling System with Residual Network-Based Face Recognition

Mustapha,

Syed Nasruddin,

Abdul Aziz

et al. 2023

AMCI

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Customer profiling is an essential aspect of customer relationship management. Knowing who your customers are, what they need, and how to reach them is crucial in creating an effective marketing strategy. However, it can be challenging for some sellers to identify and track their loyal customers. This is where a customer profiling system can be invaluable. Such a system uses data analysis and deep learning techniques to track customer behaviour and identify preferences. One approach to customer profiling is through face recognition technology. Facial recognition is an effective method for identifying people, and it can be used to track customer attendance and identify regular customers. Therefore, this work presented the development of a customer profiling system using a deep learning technique to detect customer faces in real time. Experimental results showed that the system obtained 90% accuracy in detecting customers' faces. This work conducted a user acceptance test (UAT) to evaluate the system's effectiveness. The results indicated that the system provides many benefits and advantages to customers and sellers, including improved customer loyalty and satisfaction.

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Section: Related Workmentioning

confidence: 99%

Customer Profiling System with Residual Network-Based Face Recognition

Mustapha,

Syed Nasruddin,

Abdul Aziz

et al. 2023

AMCI

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“…However, these systems usually tend to automate only the record keeping of visiting logs and visitor information. Some may send notification through SMS [4] but only textual data and not able to respond to the sender (CVMS). The mobile-based application VMS Support can be able to integrate in a CVMS to become an application support that may channel the notification and visiting information with detailed visitor information.…”

Section: Introductionmentioning

confidence: 99%

VMS Support: A mobile-based support to computerized visitor management system

Rivera

2021

Software Impacts

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VMS Support is a mobile-based application which is intended to integrate with a computerized visitor management system (CVMS). The application is used as a receiver of visit notification, respond to the CVMS and update the current whereabout. Visit notification was built using a mobile offline push notification which will not force the organization to invest in any internet provider and subscribe to a premium push notification service. User may respond to visit notification by sending a message that may be visible to the CVMS, and update its current whereabout to guide the visitor correctly.

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“…Similarly, another system employs face detection algorithm [4] but it also lacks verification and data analysis [2], [3]. Some other existing system are Visitor Management System (VMS) [4], museum ticketing and visitor management systems [5] which uses RFID technology which is capable of providing authorization [6] and visitor monitoring system which employs face recognition [7].…”

Section: Introductionmentioning

confidence: 99%

Automated Visitor Record System

Zaman

Sulaiman

Abdullah

et al. 2017

International Journal on Advanced Science, Engineering and Information Technology

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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.

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Face recognition for security efficiency in managing and monitoring visitors of an organization

Cited by 15 publications

References 1 publication

Customer Profiling System with Residual Network-Based Face Recognition

Customer Profiling System with Residual Network-Based Face Recognition

VMS Support: A mobile-based support to computerized visitor management system

Automated Visitor Record System

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