An Internet of Things Ambient Light Monitoring System

An Internet of Things Ambient Light Monitoring System

Muhammad Hariz Abdul Manab (Universiti Teknologi PETRONAS, Malaysia), Micheal Drieberg (Universiti Teknologi PETRONAS, Malaysia), Azrina Abd Aziz (Universiti Teknologi PETRONAS, Malaysia), Patrick Sebastian (Universiti Teknologi PETRONAS, Malaysia) and Hai Hiung Lo (Universiti Teknologi PETRONAS, Malaysia)
Copyright: © 2019 |Pages: 22
DOI: 10.4018/978-1-5225-7432-3.ch014
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Nowadays, the Internet of Things (IoT) technologies are ubiquitous and widely used to solve everyday challenges related to power usage consumption, environmental condition, automation, and many more. A scalable IoT-based ambient light monitoring system is designed to measure the ambient light intensity or illuminance of particular indoor areas, with an implementation in campus. This system is designed to measure the light measurement autonomously and continuously without human involvement. The end-users are able to access the real-time information of the collected data via internet through a cloud-based IoT platform with analytics capabilities. This system will provide significant benefits to the campus community in terms of creating a more conducive environment, increased productivity, and improved health condition. Furthermore, its implementation can be easily extended to other human spaces to create even greater benefits to society at large.
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This chapter covers the overview on smart environmental monitoring and the theory on ambient light. The related works on real-time environmental monitoring using IoT are also provided.

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