Next-Gen Street Lighting Technology

Authors

  • Namrata Pawar YSPM’s Yashoda Technical Camus, Satara, Maharashtra, India
  • Neha Kumbhar YSPM’s Yashoda Technical Camus, Satara, Maharashtra, India
  • Ankita Sanas YSPM’s Yashoda Technical Camus, Satara, Maharashtra, India
  • Vaishnavi Mahamulkar YSPM’s Yashoda Technical Camus, Satara, Maharashtra, India
  • Suraj Nalawade YSPM’s Yashoda Technical Camus, Satara, Maharashtra, India

Keywords:

Energy conservation, Internet of Things (IoT), Light-Dependent Resistors (LDRs), Power expenditure reduction, Smart streetlamps

Abstract

Reducing energy and power consumption to save fuel is the goal of the Internet of Things. To save power, smart streetlamps are designed to assume that the light will rapidly dim when you pass one in the dark. These are all made feasible by smart lights with Internet of Things capabilities. Every city needs lighting because it improves visibility at night, boosts traffic safety, and brightens public spaces. However, lighting requires a lot of electricity and should be automatically turned off to conserve wasted energy. This study examines how to create lovely lighting using the Internet of Things efficiently. This clever invention maximizes and improves road brightness and lighting intensity depending on the situation by working with several different devices, such as sensors. Depending on the circumstances, the street light system switches on and off. These intelligent traffic signal devices detect when an object crosses the road automatically. The microcontroller manages the network-related operations.

Author Biographies

Namrata Pawar, YSPM’s Yashoda Technical Camus, Satara, Maharashtra, India

Under Graduate Student, Department of Computer Science and Engineering

Neha Kumbhar, YSPM’s Yashoda Technical Camus, Satara, Maharashtra, India

Under Graduate Student, Department of Computer Science and Engineering

Ankita Sanas, YSPM’s Yashoda Technical Camus, Satara, Maharashtra, India

Under Graduate Student, Department of Computer Science and Engineering

Vaishnavi Mahamulkar, YSPM’s Yashoda Technical Camus, Satara, Maharashtra, India

Under Graduate Student, Department of Computer Science and Engineering

Suraj Nalawade, YSPM’s Yashoda Technical Camus, Satara, Maharashtra, India

Assistant Professor, Department of Computer Science and Engineering

Published

2024-07-16

How to Cite

Pawar, N., Kumbhar, N., Sanas, A., Mahamulkar, V., & Nalawade, S. (2024). Next-Gen Street Lighting Technology. Journal of Intelligent Data Analysis and Computational Statistics (p-ISSN: 3049-3056 E-ISSN: 3048-7080), 1(2), 30–36. Retrieved from https://www.matjournals.net/engineering/index.php/JoIDACS/article/view/698