Smart Mirror Design Powered by Raspberry PI

Mohamed, Ahmad Sufril Azlan; Wahab, Mohd Nadhir Ab; Suhaily, S. S.; Arasu, Darshan Babu L.

doi:10.1145/3299819.3299840

Cited by 11 publications

(5 citation statements)

References 9 publications

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“…After analyzing the results, it is also discovered that combining speech and facial recognition provides a more secure system than other techniques. Similar characteristics of Mir-rorME have been proposed and achieved by the authors earlier in [9,10,16], however, the feature assessment matrix demonstrates that their produced application is still lacking in several areas, such as social media notifications, voice recognition, and voice control. Overall, the originality of this investigation is the design and development of an interactive smart mirror capable of conducting daily tasks while providing the highest level of security in terms of face and voice recognition for end users.…”

Section: Resultssupporting

confidence: 59%

“…This article focuses on storing images of users in a dataset and the designed system sends notifications to the authenticated user when the model does not identify someone. With an 80% accuracy, in detecting user's faces Mohamed et al [9] have designed an artificial intelligence-based smart mirror. For recognizing existing users, they also proposed a registration method with the support of the facial recognition method.…”

Section: Introductionmentioning

confidence: 99%

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

Uddin

Dey

Parvez

et al. 2021

Int. j. inf. tecnol.

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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.

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Section: Resultssupporting

confidence: 59%

Section: Introductionmentioning

confidence: 99%

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

Uddin

Dey

Parvez

et al. 2021

Int. j. inf. tecnol.

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“…Vision-based smart mirrors are equipped with an RGB camera. They commonly activate when they recognize the framed user and show contents dedicated to the variation of the user's expressions [9,11,13,17,48,49].…”

Section: Smart Mirror Prototypesmentioning

confidence: 99%

A Smart Mirror for Emotion Monitoring in Home Environments

Bianco

Celona

Ciocca

et al. 2021

Sensors

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Smart mirrors are devices that can display any kind of information and can interact with the user using touch and voice commands. Different kinds of smart mirrors exist: general purpose, medical, fashion, and other task specific ones. General purpose smart mirrors are suitable for home environments but the exiting ones offer similar, limited functionalities. In this paper, we present a general-purpose smart mirror that integrates several functionalities, standard and advanced, to support users in their everyday life. Among the advanced functionalities are the capabilities of detecting a person’s emotions, the short- and long-term monitoring and analysis of the emotions, a double authentication protocol to preserve the privacy, and the integration of Alexa Skills to extend the applications of the smart mirrors. We exploit a deep learning technique to develop most of the smart functionalities. The effectiveness of the device is demonstrated by the performances of the implemented functionalities, and the evaluation in terms of its usability with real users.

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“…a review upon the applications of smart mirrors is presented in [1]. In [2]- [5], a smart mirror with wide application range was developed using a Raspberry Pi and it displays the weather, road traffic, news and user's schedules. Moreover, additional features such as face recognition, voice playback, remote control, Wi-Fi connectivity and a clothing indicator were included on a plasma screen in [3].…”

Section: Related Workmentioning

confidence: 99%

Smart information desk system with voice assistant for universities

Alboaneen

Alsaffar

Alqahtani

et al. 2021

IJECE

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This article aims to develop a smart information desk system through a smart mirror for universities. It is a mirror with extra capabilities of displaying answers for academic inquiries such as asking about the lecturers’ office numbers and hours, exams dates and times on the mirror surface. In addition, the voice recognition feature was used to answer spoken inquiries in audio responds to serve all types of users including disabled ones. Furthermore, the system showed general information such as date, weather, time and the university map. The smart mirror was connected to an outdoor camera to monitor the traffics at the university entrance gate. The system was implemented on a Raspberry Pi 4 model B connected to a two-way mirror and an infrared (IR) touch frame. The results of this study helped to overcome the problem of the information desk absence in the university. Therefore, it helped users to save their time and effort in making requests for important academic information.

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Smart Mirror Design Powered by Raspberry PI

Cited by 11 publications

References 9 publications

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

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

A Smart Mirror for Emotion Monitoring in Home Environments

Smart information desk system with voice assistant for universities

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