Designing Automated Deployment Strategies of Face Recognition Solutions in Heterogeneous IoT Platforms

Designing Automated Deployment Strategies of Face Recognition Solutions in Heterogeneous IoT Platforms

In this paper, we tackle the problem of deploying face recognition (FR) solutions in heterogeneous Internet of Things (IoT) platforms. The main challenges are the optimal deployment of deep neural networks (DNNs) in the high variety of IoT devices (e.g., robots, tablets, smartphones, etc.), the secu...

Full description

Bibliographic Details
Main Authors: Unai Elordi, Chiara Lunerti, Luis Unzueta, Jon Goenetxea, Nerea Aranjuelo, Alvaro Bertelsen, Ignacio Arganda-Carreras
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Information
Subjects:
knowledge-driven approach
face recognition
deep neural networks
Internet of Things
user interaction
Online Access:https://www.mdpi.com/2078-2489/12/12/532

Internet

https://www.mdpi.com/2078-2489/12/12/532

Similar Items