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UAV-Based IoT Platform: A Crowd Surveillance Use Case
Date : 2018-02-23
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Unmanned aerial vehicles are gaining a lot of
popularity among an ever growing community of
amateurs as well as service providers. Emerging
technologies, such as LTE 4G/5G networks and
mobile edge computing, will widen the use case
scenarios of UAVs. In this article, we discuss the
potential of UAVs, equipped with IoT devices,
in delivering IoT services from great heights. A
high-level view of a UAV-based integrative IoT
platform for the delivery of IoT services from large
height, along with the overall system orchestrator,
is presented in this article. As an envisioned use
case of the platform, the article demonstrates how
UAVs can be used for crowd surveillance based
on face recognition. To evaluate the use case, we
study the offloading of video data processing to a
MEC node compared to the local processing of
video data onboard UAVs. For this, we developed
a testbed consisting of a local processing node
and one MEC node. To perform face recognition,
the Local Binary Pattern Histogram method
from the Open Source Computer Vision is used.
The obtained results demonstrate the efficiency of
the MEC-based offloading approach in saving the
scarce energy of UAVs, reducing the processing
time of recognition, and promptly detecting suspicious
Attachment 1:   ÷ Seminar.pdf(1.4MB)  
Attachment 2:   ÷ UAV-Based IoT Platform.pdf(1.2MB)  
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