Edge AI on a Deep-Learning based Real-Time Face Identification and Attributes Recognition System
There is another way of understanding how a customer service office works, and Everis is developing it in its new generation of spaces designed to offer easy and personalized attention to its customers. Some of the technologies implemented in this space to offer a better experience range from voice...
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| Tipo de documento: | dissertação |
| Data de publicação: | 2022 |
| País: | España |
| Recursos: | Universitat Politècnica de Catalunya (UPC) |
| Repositório: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglês |
| OAI Identifier: | oai:upcommons.upc.edu:2117/368127 |
| Acesso em linha: | https://hdl.handle.net/2117/368127 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Human face recognition (Computer science) Edge AI Face Recognition Age Gender Emotions Attention Reconeixement facial (Informàtica) Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Reconeixement de formes |
| Resumo: | There is another way of understanding how a customer service office works, and Everis is developing it in its new generation of spaces designed to offer easy and personalized attention to its customers. Some of the technologies implemented in this space to offer a better experience range from voice recognition or facial identification to the detection of hand gestures. The purpose of the project is to incorporate into the Everis customer e-Motion HUB a new computer vision-based system to extend its abilities and to improve the user experience. |
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