A Scalable IoT Video Data Analytics for Smart Cities
3 years ago
Authors:
Đoàn Phước Miền,Trần Thế Vũ,Huỳnh Hữu Hưng,Huỳnh Xuân Hiệp
Publication date:
29 / 11 / 2019
Name of Publishers:
EAI Endorsed Transactions /Context-aware Systems and Applications
Abstract:
The smart city is a comprehensive application of information resources and a high degree of information
technology integration. With the technical support from IoT (Internet of things), smart city need to have three
features of being instrumented, interconnected and intelligent. IoT provides the ability to manage, remotely
monitor and control devices from massive streams of real-time data.Our model offers a scalable IoT video
data analytics applications for Smart cities to end users, who can exploit scalability in both data storage
and processing power to execute analysis on large or complex datasets. This model provides data analytics
programming suites and environments in which developers and researchers can design scalable analytics
services and applications. A cloud/edge-based automated video analysis system to process large numbers of
video streams, where the underlying infrastructure is able to scale based on the number of camera devices and
easy to integrate analytic application. The system automates the video analysis process and reduces manual
intervention. The design of our model is developed to be easily extended for new kinds of IoT devices, message
routing and queueing, and data analytics, to permit specific application to be programmed via the paradigm
to be flexible yet simple.