Automated Visitor Record System

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

Review of personal identification systems

The growth of the use of biometric personal identification systems has been relatively steady over the last 20 years. The expected biometric revolution which was forecast since the mid 1970\u27s has not yet occurred. The main factor for lower than expected growth has been the cost and user acceptance of the systems. During the last few years, however, a new generation of more reliable, less expensive and better designed biometric devices have come onto the market. This combined with the anticipated expansion of new reliable, user friendly inexpensive systems provides a signal that the revolution is about to begin. This paper provides a glimpse into the future for personal identification systems and focuses on research directions, emerging applications and significant issues of the future

Emotion and Memory in Third-Space Human Rights Education: An Examination of Two National Museums

This article presents a comparative analysis of human rights education at the National Center for Civil and Human Rights in Atlanta, USA (NCCHR) and the Canadian Museum of Human Rights (CMHR) in Winnipeg. Specifically, what is analyzed is the role of emotion and memory in the construction of the exhibits and the impact on the visitor. The investigation is based on the author’s field observations at these two locations and interviews with staff. The museums are viewed as third spaces of education, situated somewhere between the home and the school, which presents particular dialogic openings in terms of human rights and peace pedagogies. The NCCHR and the CMHR are found to emphasize visceral and emotional experiences, over purely intellectual ones. Furthermore, traumatic content is not avoided. Rather, it is placed at the forefront. In terms of memory, the past-present continuum is underlined by subverting chronology and through the thematic juxtaposition of content. Finally, there is a call for activism that goes beyond strict commemoration

‘Man’s inhumanity to man’ and other platitudes of avoidance and misrecognition: an analysis of visitor responses to exhibitions marking the 1807 bicentenary

2007 marked the bicentenary of Britain’s abolition of its slave trade. This paper outlines the findings of interviews undertaken with 1498 visitors to eight museum exhibitions marking the bicentenary. One of the major findings of the research was the degree to which visitors from different self-identified ethnic groups responded to the both the exhibitions and the bicentenary itself. This paper focuses on the white British response, a response dominated by emotional avoidance and disengagement with exhibition content. The role of the authorised heritage discourse (AHD) in this response is discussed, and a number of self-sufficient arguments utilised in emotionally insulating visitors from exhibition content are identified

Enhancing Face Recognition with Deep Learning Architectures: A Comprehensive Review

The progression of information discernment via facial identification and the emergence of innovative frameworks has exhibited remarkable strides in recent years. This phenomenon has been particularly pronounced within the realm of verifying individual credentials, a practice prominently harnessed by law enforcement agencies to advance the field of forensic science. A multitude of scholarly endeavors have been dedicated to the application of deep learning techniques within machine learning models. These endeavors aim to facilitate the extraction of distinctive features and subsequent classification, thereby elevating the precision of unique individual recognition. In the context of this scholarly inquiry, the focal point resides in the exploration of deep learning methodologies tailored for the realm of facial recognition and its subsequent matching processes. This exploration centers on the augmentation of accuracy through the meticulous process of training models with expansive datasets. Within the confines of this research paper, a comprehensive survey is conducted, encompassing an array of diverse strategies utilized in facial recognition. This survey, in turn, delves into the intricacies and challenges that underlie the intricate field of facial recognition within imagery analysis