MirrorME: implementation of an IoT based smart mirror through facial recognition and personalized information recommendation algorithm.

Autor: Uddin KMM; Department of Computer Science and Engineering (CSE), Dhaka International University (DIU), Dhaka, 1205 Bangladesh., Dey SK; School of Science and Technology (SST), Bangladesh Open University (BOU), Gazipur, 1705 Bangladesh., Parvez GU; Department of Computer Science and Engineering (CSE), Dhaka International University (DIU), Dhaka, 1205 Bangladesh., Mukta AS; Department of Computer Science and Engineering (CSE), Dhaka International University (DIU), Dhaka, 1205 Bangladesh., Acharjee UK; Department of Computer Science and Engineering (CSE), Jagannath University, Dhaka, 1100 Bangladesh.
Jazyk: angličtina
Zdroj: International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management [Int J Inf Technol] 2021; Vol. 13 (6), pp. 2313-2322. Date of Electronic Publication: 2021 Sep 12.
DOI: 10.1007/s41870-021-00801-z
Abstrakt: We are living in the era of the fourth industrial revolution, which also treated as 4IR or Industry 4.0. Generally, 4IR considered as the mixture of robotics, artificial intelligence (AI), quantum computing, the Internet of Things (IoT) and other frontier technologies. It is obvious that nowadays a plethora of smart devices is providing services to make the daily life of humans easier. However, in the morning most people around the globe use a traditional mirror while preparing themselves for daily tasks. The aim is to build a low-cost intelligent mirror system that can display a variety of details based on user recommendations. Therefore, in this article, Internet of Things (IoT) and AI-based smart mirror is introduced that will support the users to receive the necessary daily update of weather information, date, time, calendar, to-do list, updated news headlines, traffic updates, COVID-19 cases status and so on. Moreover, a face detection method also implemented with the smart mirror to construct the architecture more secure. Our proposed MirrorME application provides a success rate of nearly 87% in interacting with the features of face recognition and voice input. The mirror is capable of delivering multimedia facilities while maintaining high levels of security within the device.
Competing Interests: Conflict of interestAll authors declare no competing interest.
(© Bharati Vidyapeeth's Institute of Computer Applications and Management 2021.)
Databáze: MEDLINE
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