Towards an Machine Learning-Based Edge Computing Oriented Monitoring System for the Desert Border Surveillance Use Case

Towards an Machine Learning-Based Edge Computing Oriented Monitoring System for the Desert Border Surveillance Use Case

The design of border surveillance systems is critical for most countries in the world, having each border specific needs. This paper focuses on an Internet of Things oriented surveillance system to be deployed in the Sahara Desert, which is composed of many unattended fixed platforms, where the node...

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Bibliographic Details
Main Authors: Khalifa M. Bellazi, Rodrigo Marino, Jose M. Lanza-Gutierrez, Teresa Riesgo
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Automatic target recognition
approximate computing
bag of features
border surveillance
classification
edge computing
Online Access:https://ieeexplore.ieee.org/document/9281292/

Internet

https://ieeexplore.ieee.org/document/9281292/

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