ItemConference Paper

Smart Street Lighting System Using AI, Computer Vision, and IoT for Energy Efficiency and Sustainability

Title
Smart Street Lighting System Using AI, Computer Vision, and IoT for Energy Efficiency and Sustainability
Creator
Suhan Krishna, M.G.; George, Jossy; Chanti, S.
Description
In pursuit of smart cities, optimum utilization of energy without any compromise on public security is a requirement. Traditional lighting systems work with minimal flexibility but result in enormous wastage of energy. The proposed model dynamically controls lighting intensity based on real-time pedestrian and environmental information. The model is capable of saving wasteful utilization of electricity by integrating innovative technologies without any compromise on public security and visibility levels. The system requires the deployment of IoT-enabled cameras at strategic points on the highways to monitor the movement and traffic of pedestrians and automobiles. The system is capable of detecting and recognizing moving objects in real-time through computer vision technologies. Based on movement and density patterns, the system determines the optimal level of brightness to be used over each street lighting segment. This adaptive lighting method ensures the utilization of energy only where it is required and minimizes the energy consumption substantially without any compromise on security. Overall, this AI-driven smart lighting solution is a cost-effective and scalable solution for cities to become intelligent and resource-efficient. 2025 IEEE.
Source
Proceedings - 2025 International Conference on Transformative Computing Technologies, ICTCT 2025;pp.339-343
Date
01-01-2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Coverage
Suhan Krishna M.G., CHRIST (Deemed to be University), India; George J., CHRIST (Deemed to be University), India; Chanti S., CHRIST (Deemed to be University), India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833159195-3;
Format
online
Language
English
Type
Conference paper

Citation

Suhan Krishna, M.G.; George, Jossy; Chanti, S., “Smart Street Lighting System Using AI, Computer Vision, and IoT for Energy Efficiency and Sustainability,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/26134.

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