ABSTRACT
A contactless system became necessary for smart mobility during the COVID-19 pandemic. There are many touchpoints in private and public areas where contact is essential, such as intelligent transportation systems for vaccine carriers, patient ambulances, elevators, metros, buses, hospitals, and banks. A secured contactless device reduces the chances of COVID-19 infection spread. Several devices use smart cards, fingerprint identification, or code-based access. Most of these devices require some form of touch. The cost of such devices varies, depending on their capability and intended use. Sensors developed by using artificial intelligence (AI) to provide secured access are an emerging area. This paper presents an AI-powered contactless face recognition system. The solution has the Internet of Things (IoT) enabled access system. To identify a person, it uses AI assistance for face recognition with the help of Python Dlib’s facial recognition network. Dlib offers a wide range of functionality across several machine learning sectors and is open-source. The Arduino Uno (ATmega328P) and STK500 protocol has been used for communication to testify and validate the performance of the proposed technique. The objective is to detect and recognize faces by the proposed contactless approach. The obtained result shows 92% accuracy, 94% sensitivity, 96% precision and FRR 6% for face detection. There is a significant improvement in FRR in our work compared to the published 27.27%. The implemented solution in this paper provides accurate and secure contactless access to conventional, readily available techniques in public health safety.
ABSTRACT
Long before the isolation caused by the Covid-19 pandemic became a necessity, the practical part of the lecture entitled "Specialized Radio Work Techniques," which I teach the journalism students from Apollonia University of Iasi, was conducted with the help of the new technologies. I used the mobile phone and its various applications in order to replace the recorder, the magnetic tape and the editing studio in order to exemplify and create the necessary skills for a radio journalist. "Another life!" might say some users of the old Nagra recorder which, from a recording point of view, had similar performances, weighted over 15 kilos and was not able to record more than half an hour without interruption. If we look at things in such a manner, isolation triggered by the pandemic seems to have come at the right time. Meaning precisely at that moment in which human intelligence had the necessary substitutes ready. Information technology had already created the critical mass of electronic devices capable to preserving the life of the society in circumstances of ... social isolation. Experts emphasize the fact that restrictions did not obstruction communication. The numerous social networks and the already existent devices (television and mobile telephony) successfully ensured "the normality" of the human being life. Psychological and psychiatric consequences that specialists have not yet ruled on are not taken into account.
ABSTRACT
[...]there are many forms of networks: from biological, mycorrhizal networks that connect plants in mutualistic partnerships to personal community or business networks to electronic and digital networks. Many artists and researchers working in sound have explored the concept of ‘the network’ and developed a wide range of musical practices such as tele-presence performances, telematics artwork, network jamming, streaming or multiuser interactive environments. An international conference on soundscape at Banff, Alberta, in 1993, to mark Schafer’s 60th birthday, established the World Forum for Acoustic Ecology (WFAE), the pre-eminent international body, seeking to foster a ‘desirable acoustic community where sound connects all of its inhabitants’.