Smart Street Light Systems: Revolutionizing Urban Sustainability with Real-Time Monitoring

Authors

  • Shanmugavalli T.
  • Anand P.
  • Gowsalya V.
  • Shri Abirami G.
  • Priyavarshini M.
  • Dharshini R.

Keywords:

Automated fine generation, Defect detection, Monitor light status, Smart street light system, Violation detection

Abstract

The evolution of smart cities has underscored the importance of energy-efficient systems. The proposed smart street light system leverages IoT and computer vision technologies to optimize energy consumption and ensure public safety. This system intelligently adjusts streetlight brightness based on the presence of objects to optimize energy consumption and ensures public safety by detecting and responding to environmental events such as accidents, illegal parking, sudden U-turns, and one-way violations. The smart street light system is software designed to improve street lighting in smart cities. It uses IoT data to show how streetlights can automatically adjust their brightness. For example, the lights will dim when streets are empty and brighten when there is activity, saving energy while ensuring safety. The system has an easy-to-use interface. Using AI-based decision-making, the system can automatically issue fines and provide real-time alerts for traffic violations. The innovative solution contributes to creating smarter, greener, and safer urban spaces aligned with sustainable development goals.

  • Monitor light status: Check which streetlights are on or off.
  • Analyze energy usage: View reports on how much energy is being saved.
  • Control lights by schedule: Set lighting times for different parts of the day.
  • AI-based algorithm for violation detection and automated fine generation.

References

P. Mohanty, U. C. Pati, K. Mahapatra, and S. P. Mohanty, “bSlight 2.0: Battery-Free Sustainable Smart Street Light Management System” in IEEE Transactions on Sustainable Computing, vol. 10, no. 01, pp. 146-160, Jan.-Feb. 2025, doi: https://doi.org/ 10.1109/TSUSC.2024.3408630.

P. Mohanty, U. C. Pati, K. Mahapatra, and S. P. Mohanty, “bSlight: Battery-Less Energy Autonomous Street Light Management System for Smart City,” in IEEE Transactions on Sustainable Computing, vol. 9, no. 1, pp. 100-114, Jan.-Feb. 2024, doi: https://doi.org/10.1109/TSUSC.2023.3310884.

S. Rathnamala, C. Parameswari, R. S. Sobana, and V. Lakshmi.M, “IoT based Smart Farming System,” IRO Journals Journal of IoT in Social, Mobile, Analytics, and Cloud, vol. 5, no. 2, pp. 119–127, Jun. 2023, doi: https://doi.org/10.36548/jismac.2023.2.004.

L. Jiao et al., “Graph Representation Learning Meets Computer Vision: A Survey,” in IEEE Transactions on Artificial Intelligence, vol. 4, no. 1, pp. 2-22, Feb. 2023, doi: https://doi.org/10.1109/TAI.2022.3194869.

M. S. U. Sourav, H. Wang, M. R. Chowdhury, and R. B. Sulaiman, “CNN-based Intelligent Streetlight Management Using Smart CCTV Camera and Semantic Segmentation,” arXiv.org, Mar. 27, 2023. Available: https://arxiv.org/abs/2209.08633.

S. Constantinou, C. Costa, A. Konstantinidis, P. K. Chrysanthis, and D. Zeinalipour-Yazti, "A Sustainable Energy Management Framework for Smart Homes" in IEEE Transactions on Sustainable Computing, vol. 10, no. 01, pp. 70-81, Jan.-Feb. 2025, doi: https://doi.org/10.1109/TSUSC.2024.3396381.

H. Ye, Y. Yang, L. Zhang, Y. Gu, L. Zhu, and X. Miao, “Design and manufacture of a new intelligent street lamp control system,” 2021 International Conference on Control Science and Electric Power Systems (CSEPS), Shanghai, China, 2021, pp. 25-28, doi: https://doi.org/10.1109/CSEPS53726.2021.00012.

H. Kong, L. Lu, J. Yu, Y. Chen and F. Tang, “Continuous Authentication Through Finger Gesture Interaction for Smart Homes Using WiFi,” in IEEE Transactions on Mobile Computing, vol. 20, no. 11, pp. 3148-3162, 1 Nov. 2021, doi: https://doi.org/10.1109/TMC.2020.2994955.

J. Zeng, W. Ni, R. Zhang, L. Shi, C. Guo, and Y. Chen, “Intelligent Street Lamp Control System with Dynamic Light Control Function,” 2018 17th International Symposium on Distributed Computing and Applications for Business Engineering and Science (DCABES), Wuxi, China, 2018, pp. 181-183, doi: https://doi.org/10.1109/DCABES.2018.00054.

J. Huang, C. -C. Xing, S. Y. Shin, F. Hou, and C. -H. Hsu, “Optimizing M2M Communications and Quality of Services in the IoT for Sustainable Smart Cities," in IEEE Transactions on Sustainable Computing, vol. 3, no. 1, pp. 4-15, 1 Jan.-March 2018, doi: https://doi.org/10.1109/TSUSC.2017.2702589.

D. K. Srivatsa, B. Preethi, R. Parinitha, G. Sumana and A. Kumar, “Smart Street Lights,” 2013 Texas Instruments India Educators' Conference, Bangalore, India, 2013, pp. 103-106, doi: https://doi.org/10.1109/TIIEC.2013.25.

C. Wu et al., "Design of Intelligent Street Lamp Control System Based on Wireless Network," 2018 IEEE 17th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), Berkeley, CA, USA, 2018, pp. 465-470, doi: https://doi.org/10.1109/ICCI-CC.2018.8482064.

H. E. Fortunato and M. M. Oliveira, "A gentle introduction to coded computational photography," in 2012 25th SIBGRAPI Conference on Graphics, Patterns and Images Tutorials, Maceio, Alagoas Brazil, 2011, pp. 39-55, doi: https://doi.org/10.1109/SIBGRAPI-T.2011.13.

W. Yongqing, H. Chuncheng, Z. Suoliang, H. Yali and W. Hong, "Design of Solar LED Street Lamp Automatic Control Circuit," 2009 International Conference on Energy and Environment Technology, Guilin, China, 2009, pp. 90-93, doi: https://doi.org/10.1109/ICEET.2009.28.

T. Simunic, L. Benini and G. De Micheli, "Energy-efficient design of battery-powered embedded systems," in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 9, no. 1, pp. 15-28, Feb. 2001, doi: https://doi.org/10.1109/92.920814.

Published

2025-03-06

How to Cite

Shanmugavalli T., Anand P., Gowsalya V., Shri Abirami G., Priyavarshini M., & Dharshini R. (2025). Smart Street Light Systems: Revolutionizing Urban Sustainability with Real-Time Monitoring. Recent Trends in Semiconductor and Sensor Technology, 1–8. Retrieved from https://matjournals.net/engineering/index.php/RTSST/article/view/1482