Abstract
Due to the limited nature of natural resources and the effects of energy usage on the environment, energy conservation has gained importance in recent years. Lighting is a major factor in how much energy is used in buildings. Hence, it is essential to put policies in place that can cut down on energy used for unneeded lighting. Using an automatic light turn-off system that can recognize when there are people present or not in a room and turn the lights out appropriately is one such measure. The system is made to be both economical and energy-efficient, and it is simple to integrate into already installed lighting systems. This initiative has the potential to lower energy use and enhance sustainability in both residential and commercial structures. We implemented model and noted observations for 7 days. As an experimental result, we could save 283 w/h electricity in 7 days, which was nearly about 26% of total energy consumption.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Lee, Kim, Park (2017) Published paper development of an ultrasonic sensor-based automatic light-turn-off system for energy saving in business buildings published in the Journal of Sensors
De Almeida et al (2016) Investigation to examine the efficacy of an automatic light turn-off system
Kim SH, Jung HJ, Lee JH, Kang JH (2018) Development of an automatic light turn-off system utilizing a combination of infrared and ultrasonic sensors
Bhatia PS, Rana PS, Patheja PS (2015) An automated lighting control system utilizing passive infrared and ultrasonic sensors
Zhang H, Shen L, Wang X (2020) Hybrid occupancy sensors are used in development and performance assessment of an intelligent lighting control system
Meena NH, Parashar N, Bhephalawat N, Jain P, Prayag, IV B. Tech, Department of EE, SKIT Jaipur, India paper on automatic light control and home security using PIR sensor, GSM and Arduino system
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Dongare, S., Gawali, S., Rathod, P., Kavathe, S., Dolas, A. (2023). Automatic Room Light Control. In: Tuba, M., Akashe, S., Joshi, A. (eds) ICT Systems and Sustainability. ICT4SD 2023. Lecture Notes in Networks and Systems, vol 765. Springer, Singapore. https://doi.org/10.1007/978-981-99-5652-4_42
Download citation
DOI: https://doi.org/10.1007/978-981-99-5652-4_42
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-5651-7
Online ISBN: 978-981-99-5652-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)