ABSTRACT
In the contemporary time of technology, security is the utmost concern for every building automation system. Access Control Systems are the backbone of any security system being employed in any intelligent building, and can be operated in a biometric or non-biometric manner. There are various types of recognition systems available, depending upon the required level of safety and security. The ongoing pandemic has challenged and tested Access Control System in many aspects.This paper aims to review the various forms of access control systems and their viability in the context of COVID-19. It is found that some access control solutions fail to provide the required security during this global epidemic due to their contact-based operations. So, in the midst of the worldwide pandemic, a realistic integrated electronic access control system can be designed to meet the requirements of users. © 2022 IEEE.
ABSTRACT
Masked face recognition is becoming an essential requirement in most of the facial recognition based access control and authentication systems, particularly after the Covid-19 pandemic. The work analyses the capability of Region Based Convolutional Neural Networks (R-CNN) for masked face detection and demonstrates a facial recognition system with R-CNN in hardware. R-CNN uses Region Proposal Networks (RPN) that can extract non-occluded region on an image and feed it to a Deep Neural Network for recognition. The R-CNN classifier running on the region containing the non-occluded part of the face will be used for classification in case of a masked face. In case of recognition of unmasked face, the classifier will be run on the region containing the face. By this way, the system will be able to recognize face for both cases. Python modules like opencv, numpy have been used for image pre-processing, while Tensorflow has been used for image classification. Custom dataset is used for training. The trained deep learning model is evaluated using a confusion matrix heat-map which can be used to know the reliability of the model. The demonstration system consists of a Raspberry Pi module connected to a door actuator and a camera. On successful authentication, the system opens the door. © 2022 IEEE.
ABSTRACT
Nowadays, the COVID-19 pandemic has changed our lives. Some biosecurity measures have been implemented, including the use of face masks and the detection of body temperature;however, there are a lot of outbreaks, and the world cannot overcome this illness. In multiple cases, it is very difficult to measure the temperature and verify the correct use of face masks in everyone. Therefore, this paper proposes a real-time access control system based on body temperature detection and the correct use of face masks. This system uses a Raspberry Pi 4, which integrates temperature measurement using a thermal imager, the detection of the correct use of face masks using Convolutional Neural Networks (CNN), with a model built based on TensorFlow and MobileNetV2 that works on the video obtained from a thermographic camera using OpenCV and the Real Real-Time Streaming Protocol (RSTP). The system includes four modules: body temperature detection, processes, access, and visual interface. As a result, the access control system establishes six classification cases: high temperature and low temperature in faces without a mask, with an incorrectly placed mask, and with a correctly placed mask. The results show a system performance greater than 95% in all cases with a neural network model trained with a learning rate of 10E-4 and 15 epochs. © 2022 IEEE.
ABSTRACT
To meet the demands for highest level security of today's world, a sophisticated security management system is essential. An access control system generally categorized into biometric and non-biometric types based upon contact or contactless in operation. This research work aims to survey the preferences of people, for understanding the role and need of access control systems during the difficult pandemic situation through an online survey. This survey finds that various access control solutions fail to provide the required security during this worldwide pandemic due to their contact-based operations. Henceforth, a feasible integrated electronic access control system requires to be adopted to fulfill the expectations of users amid global pandemic. © 2022 IEEE.