Deep-Learning-Based Adaptive Advertising with Augmented Reality

Sensors

Marco A. Moreno-Armendáriz¹  Hiram Calvo¹  Arturo Lara-Cázares²  Enrique Ramos-Diaz²  Víctor L. Morales-Flores²  Carlos A. Duchanoy³ 

[1] Centro de Investigación en Computación, Instituto Politécnico Nacional, Ciudad de Mexico 07738, Mexico;Escuela Superior de Cómputo, Instituto Politécnico Nacional, Ciudad de Mexico 07738, Mexico;Gus Chat, Ciudad de Mexico 06600, Mexico;

关键词: targeted advertising;    emotion-based recommendation;    augmented reality;    computer vision;    deep learning;   

DOI  :  10.3390/s22010063

来源: DOAJ

【 摘 要 】

In this work we describe a system composed of deep neural networks that analyzes characteristics of customers based on their face (age, gender, and personality), as well as the ambient temperature, with the purpose of generating a personalized signal to potential buyers who pass in front of a beverage establishment; faces are automatically detected, displaying a recommendation using deep learning methods. In order to present suitable digital posters for each person, several technologies were used: Augmented reality, estimation of age, gender, and estimation of personality through the Big Five test applied to an image. The accuracy of each one of these deep neural networks is measured separately to ensure an appropriate precision over 80%. The system has been implemented into a portable solution, and is able to generate a recommendation to one or more people at the same time.

【 授权许可】

Unknown