Digital Mirror System with Machine Learning and Microservices


KIPS Transactions on Software and Data Engineering, Vol. 9, No. 9, pp. 267-280, Sep. 2020
https://doi.org/10.3745/KTSDE.2020.9.9.267, Full Text:
Keywords: Digital Mirror, Face Recognition, Age Detection, Emotion Detection, Microservice, Machine Learning
Abstract

Mirror is a physical reflective surface, typically of glass coated with a metal amalgam, and it is to reflect an image clearly. They are available everywhere anytime and become an essential tool for us to observe our faces and appearances. With the advent of modern software technology, we are motivated to enhance the reflection capability of mirrors with the convenience and intelligence of realtime processing, microservices, and machine learning. In this paper, we present a development of Digital Mirror System that provides the realtime reflection functionality as mirror while providing additional convenience and intelligence including personal information retrieval, public information retrieval, appearance age detection, and emotion detection. Moreover, it provides a multi-model user interface of touch-based, voice-based, and gesture-based. We present our design and discuss how it can be implemented with current technology to deliver the realtime mirror reflection while providing useful information and machine learning intelligence.


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Cite this article
[IEEE Style]
M. H. Song and S. D. Kim, "Digital Mirror System with Machine Learning and Microservices," KIPS Transactions on Software and Data Engineering, vol. 9, no. 9, pp. 267-280, 2020. DOI: https://doi.org/10.3745/KTSDE.2020.9.9.267.

[ACM Style]
Myeong Ho Song and Soo Dong Kim. 2020. Digital Mirror System with Machine Learning and Microservices. KIPS Transactions on Software and Data Engineering, 9, 9, (2020), 267-280. DOI: https://doi.org/10.3745/KTSDE.2020.9.9.267.