| Autor: |
Aishwarya. T, Annie Prasanna. M, Charumathi. V. S, Kalaimathi B |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
2021 5th International Conference on Computing Methodologies and Communication (ICCMC). |
| DOI: |
10.1109/iccmc51019.2021.9418389 |
| Popis: |
The rise in industrialization and technological developments has led to a simultaneous rise in environmental threats and energy depletion. Therefore, it is high time channelled for the evolution of technology towards developing devices that are energy-efficient and environment-friendly. In any developed or developing country, one of the major areas of power wastage is public lighting. The amount of power consumed by street lights in a year is $1/6$ of the global energy produced. Most of this energy is wasted in unnecessary illumination - that is, street lights stay ON even in the absence of people or vehicles. This is a depletion of energy and capital. Therefore, it is inevitable for the government to implement an automated street lighting system that enables efficient power consumption. An energy-efficient power generating system is implemented in this proposed model that automates street lights based on traffic density.Traffic density is a measure of the number of vehicles that pass a particular area over a period of time. Based on this information, this paper proposes a smart upgrade to the street lighting system. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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