Embedded Deep Learning Solution for Person Identification and Following with a Robot

Author(s):  
Ignacio Condés ◽  
José-María Cañas ◽  
Eduardo Perdices
2020 ◽  
Vol 12 (3) ◽  
pp. 486-496 ◽  
Author(s):  
Theerawit Wilaiprasitporn ◽  
Apiwat Ditthapron ◽  
Karis Matchaparn ◽  
Tanaboon Tongbuasirilai ◽  
Nannapas Banluesombatkul ◽  
...  

Author(s):  
Ramar Ahila Priyadharshini ◽  
Selvaraj Arivazhagan ◽  
Madakannu Arun

Author(s):  
Lucas Gomes da Silva ◽  
Álan L. V. Guedes ◽  
Sérgio Colcher

There are many ways to build a person identification system and those systems can be used for authentication and security. The latest phones for example, bring fingerprint readers to enhance the user experience. From our perspective on Neural Networkswe determine that Machine Learning is enough to guarantee someone’s identity without the need of any specific sensors other than a camera and a microphone. It is achievable with pictures of their face, sounds of their voice and Deep Learning. This work presents a study to build an application to allow biometric authentication using only multimedia and Deep Learning.


Author(s):  
Ryuichi IMAI ◽  
Daisuke KAMIYA ◽  
Haruka INOUE ◽  
Shigenori TANAKA ◽  
Kazuma SAKAMOTO ◽  
...  

Author(s):  
Sherif Abdulatif ◽  
Fady Aziz ◽  
Karim Armanious ◽  
Bernhard Kleiner ◽  
Bin Yang ◽  
...  

Author(s):  
Lamya Alkanhal ◽  
Deena Alotaibi ◽  
Nada Albrahim ◽  
Sara Alrayes ◽  
Ghaida Alshemali ◽  
...  

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