The energy sector is one of the major contributors to global carbon emissions. Numerous approaches have been adopted to reduce dependence on fossil-based energy by incorporating renewable energy sources. However, energy wastage at the end-user level has not been fully addressed. With recent advancements in the Internet of Things (IoT), automation and autonomous control systems now have the potential to regulate human energy consumption effectively. This study, therefore, investigates the design and implementation of an IoT-enabled smart lighting control system based on real-time occupancy detection using Passive Infrared (PIR) sensors. These sensors detect human motion, allowing the system to intelligently manage lighting by switching lights on only when necessary and adjusting brightness levels based on movement. This dynamic control minimizes energy waste in unoccupied areas and results in significant electricity savings through optimized power consumption. Beyond energy efficiency, the system also improves user convenience and comfort by providing seamless, hands-free lighting control, with a response accuracy of 98% within 5m range. This feature is particularly beneficial for individuals with mobility limitations or in scenarios that require instant lighting, such as navigating dark or cluttered spaces. Additionally, IoT connectivity enhances the system’s capabilities, enabling users to remotely monitor, adjust, and schedule lighting settings, offering greater flexibility and customization to suit individual preferences. The scalable and adaptable nature of the system makes it a practical, user-friendly solution for various smart home environments. Overall, IoT-based smart lighting systems using PIR sensors provide a dual advantage: reducing energy consumption and enhancing user interaction with lighting technologies.
Author(s) Details
Tolulope David Makanju
Department of Electrical and
Information Engineering, College of Engineering and Technology, Achievers
University Owo, KM 1, Ute-Idanse, Ondo State, Nigeria.
Francis E. Kibuebu
Department of Electrical and
Information Engineering, College of Engineering and Technology, Achievers
University Owo, KM 1, Ute-Idanse, Ondo State, Nigeria.
Olumhense B. Adoghe
Department of Electrical and
Information Engineering, College of Engineering and Technology, Achievers
University Owo, KM 1, Ute-Idanse, Ondo State, Nigeria.
Michael O. Omojoyegbe
Department of Electrical and
Information Engineering, College of Engineering and Technology, Achievers
University Owo, KM 1, Ute-Idanse, Ondo State, Nigeria.
Oluwole John Famoriji
Department of Electrical and
Information Engineering, College of Engineering and Technology, Achievers
University Owo, KM 1, Ute-Idanse, Ondo State, Nigeria.
Please see the book
here:- https://doi.org/10.9734/bpi/nhstc/v4/6069
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