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In-Depth Information
Fig. 1. VMSC (left) and smartphone acting as a VMSC (right)
Things terminology, the amount of data increases signi
cantly. One of the most critical
challenges is how to transmit and store all this video. First of all, it seems to be very
hard to transmit and store all the video recordings from ICOs to some central storage,
whether it
s cloud or a video repository. Secondly, not many people might want to
share their video recordings in some way, as there
'
s no certainty what it will be used
for. It is a serious privacy concern. The solution can be found in storing data in the
device, where it was recorded. If we were able to make requests to all possible ICOs,
the need to transfer and store the video data would be reduced or eliminated. So, as data
stays in ICOs, we are to look at massively distributed Internet of Things system with
challenging indexing, search and processing requirements. The challenge is also to
communicate with millions of ICOs, make requests and process user reports to get
annotated videos of events that we are interested in. As these ICOs are heterogeneous,
opportunistically available and spread all over the region (however big), building such
a system becomes a global IoT challenge. One of the key concepts of the system is
crowdsourcing [ 9 ].
For implementing and deploying such a system we need a flexible, powerful,
extensible, easy-to-use and open middleware platform that will simplify the process of
ICOs discovery and orchestration. Besides, the platform must provide services enabling
the concept of
'
. Other important features of the middleware
platform include support for working with ontologies and semantic reasoning. For
these reasons OpenIoT platform has been selected as it combines the identi
Sensing-as-a-Service
ed features
in favorable comparison with similar IoT middleware platforms.
In Sect. 2 of the paper we discuss related work in this
eld and highlight several
applications for smartphones that have similar functionality. Section 3 of the paper
gives information about CityWatcher concepts and
use case.
Architecture, implementation and coupling with OpenIoT middleware is discussed in
Sect. 4 and future work and directions are presented in Sect. 5 .
reporting problems
2 Related Work
Getting video streams and fragments from surveillance cameras is already well
investigated [ 10 ]. Our research focus is not on existing road or traf
c intersection
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