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EEG-Based Biometric Verification Using Siamese CNNs Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Collecting Retail Data Using a Deep Learning Identification Experience

Authors : Salvatore La Porta, Fabrizio Marconi, Isabella Lazzini

Published in: New Trends in Image Analysis and Processing – ICIAP 2019

Publisher: Springer International Publishing

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Abstract

The aim of the paper is to present a part of an architecture realized by Huawei, that propose the first Christmas tree endowed with artificial intelligence. Its ability is to identify facial expressions from images acquired by a mobile application and then recognize the sentiment of the subject. So, basing on the prevailing sentiment the tree lights up itself with different special effects. Our task in the project was testing the performances of the neural networks employed in the mobile application for the recognition of facial emotion. We used a convolutional neural networks model-based and created a purposely dedicated dataset of images for testing the recognition performances.

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previous chapter Semantic 3D Object Maps for Everyday Robotic Retail Inspection
next chapter A Large Scale Trajectory Dataset for Shopper Behaviour Understanding
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Metadata
Title
Collecting Retail Data Using a Deep Learning Identification Experience
Authors
Salvatore La Porta
Fabrizio Marconi
Isabella Lazzini
Copyright Year
2019
Book
New Trends in Image Analysis and Processing – ICIAP 2019

Print ISBN: 978-3-030-30753-0

Electronic ISBN: 978-3-030-30754-7

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-30754-7_28

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