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An Intelligent Informative Totem Application Based on Deep CNN in Edge Regime

  • Paolo GiammatteoEmail author
  • Giacomo Valente
  • Alessandro D’Ortenzio
Conference paper
  • 13 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 627)

Abstract

In this paper we present an application targeting an informative totem, with a discussion about its possible usage and the requirements it needs to satisfy. In this regard, we propose a Machine Learning algorithm, a Convolutional Neural Network, performing computation on images taken from a camera on an edge-computing platform. Performance tests on two different edge processors are reported, respectively for a CPU and a GPU, and a comparison with the principal competitors is provided. Our final goal is to lay the foundation for the application of an informative totem in an edge computing regime, which is able to recognize the age and the gender of the person approaching it in order to give a better presentation of its contents.

Keywords

Age and gender estimation Convolutional neural networks Edge computing Embedded systems 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Paolo Giammatteo
    • 1
    Email author
  • Giacomo Valente
    • 1
  • Alessandro D’Ortenzio
    • 2
  1. 1.Centro di Eccellenza DEWSUniversitá degli Studi dell’AquilaL’AquilaItaly
  2. 2.Dipartimento di Ingegneria e Scienze dell’Informazione e MatematicaUniversitá degli Studi dell’AquilaL’AquilaItaly

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