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REFLECTA – Artificial Intelligence Based Smart Mirror
Chethan K1, Adnan Ahmed2, Nikhil Ganapathy3, Pragathi N Simha4, Sourabh Kothari5

1Chethan K, Department of Electronics and Communication Engineering, Vidyavardhaka College of Engineering, Mysuru, Karnataka, India.

2Adnan Ahmed, Department of Electronics and Communication Engineering, Vidyavardhaka College of Engineering, Mysuru, Karnataka, India.

3Nikhil Ganapathy, Department of Electronics and Communication Engineering, Vidyavardhaka College of Engineering, Mysuru, Karnataka, India.

4Pragathi N Simha, Department of Electronics and Communication Engineering, Vidyavardhaka College of Engineering, Mysuru, Karnataka, India.

5Sourabh Kothari, Department of Electronics and Communication Engineering, Vidyavardhaka College of Engineering, Mysuru, Karnataka, India.

Manuscript received on 08 April 2019 | Revised Manuscript received on 15 April 2019 | Manuscript Published on 26 July 2019 | PP: 468-472 | Volume-8 Issue-6S4 April 2019 | Retrieval Number: F10970486S419/19©BEIESP | DOI: 10.35940/ijitee.F1097.0486S419

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper interprets the development of an artificial intelligence-based mirror that shows an inconspicuous network interface for an ideal home setting. The mirror concedes an interaction through which the users can have an access and control to the smart appliances present at homes and also an ingress to personalized services. Priority is given to ensure comfort in accessing the basic services with a minimum hinder to user’s mediation. Taking an example, the face recognition feature is used to identify the user that faces the mirror and provide a module-based interface to access user data such as calendar, email, phone, social media, and other services. Reflecta basically works on Raspberry Pi 3 Model B board. It acquires a service-oriented architecture and is developed to use various utilities. The mirror, the appliances, data and news feeds use web services and cloud platform. Reflecta’s functionalities have been exhibited by developing an easily accessible home automation system based on ESP node service that simplifies the integration of home appliances and various customized web and internet services.

Keywords: Face Recognition, Raspberry pi 3, ESP Node Service, Home Automation.
Scope of the Article: Communication