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  4. Depth Camera and Electromagnetic Field Localization System For IoT Application - High level, lightweight data fusion
 
conference paper

Depth Camera and Electromagnetic Field Localization System For IoT Application - High level, lightweight data fusion

Mohaghegh, Pooneh  
•
Saeed, Rabia
•
Tièche, François
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2021
Proceedings of the ASSE'21
2nd Asia Service Sciences and Software Engineering Conference (ASSE ’21)

This article demonstrates person localization using a hybrid system consisting of an electromagnetic positioning system and a depth camera to authorize access control. The ultimate aim of this system is to distinguish moving people in a defined area by tracking the RF device and the people. It focuses on the application and incorporation of the received data from these two systems. Both systems send data simultaneously which is stored in a Docker container for further analysis. The data is processed in real-time to track the movement of the targets. The centralized database monitoring grants secure access to the information. The motive for using this hybrid system lies in the ever-growing need for accurate position determination for indoor and complex environments. Track and tracing are especially important in access-control applications. The system has a great impact on real-life access-control applications in malls, shops, train stations, and generally everyplace where the access control requires monitoring. The non-blocking feature plus the accuracy can provide ease of use for the users. Moreover, employing a low-frequency tag system does not suffer from the multipath effect and non-line of sight problems that are inevitable for indoor applications. By extending the number of users for a larger area, this system can replace traditional security gates with a pleasant look and comfortable application.

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Type
conference paper
DOI
10.1145/3456126.3456145
Author(s)
Mohaghegh, Pooneh  
Saeed, Rabia
Tièche, François
Boegli, Alexis  
Perriard, Yves  
Date Issued

2021

Publisher

Association for Computing Machinery

Published in
Proceedings of the ASSE'21
ISBN of the book

978-1-450389-08-2

Total of pages

8

Subjects

Radio Frequency positioning systems

•

Image processing

•

Signal processing

•

Message Quest Telemetry Transport (MQTT)

•

Internet of Things

•

KNN Algorithm

Note

Best Presentation.

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LAI  
Event nameEvent placeEvent date
2nd Asia Service Sciences and Software Engineering Conference (ASSE ’21)

Macau, Macao

February 24-26, 2021

Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/177375
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