Sangeetha S,
Ganesh G,
Jeeva R,
Kavin K,
Suriya S,
- Professor, Department of Computer Science and Engineering, Karpagam College of Engineering, Coimbatore, India.
- Student, Department of Computer Science and Engineering, Karpagam College of Engineering, Coimbatore, India
- Student, Department of Computer Science and Engineering, Karpagam College of Engineering, Coimbatore, India
- Student, Department of Computer Science and Engineering, Karpagam College of Engineering, Coimbatore, India
- Student, Department of Computer Science and Engineering, Karpagam College of Engineering, Coimbatore, India
Abstract
This paper addresses the concept, design, and implementation of an automated streetlighting system that uses Arduino technology for improving energy saving and detecting faults across the lamp. The system consists of several sensors: Light Dependent Resistors (LDR) as well as Infrared (IR) sensors, which are employed in the management to control the lighting of the streets and posts with surroundings and other conditions. Here, we use IR sensors for measuring ambient light, which determines whether it is day or night. At nighttime, the system changes the lamp posts to a dim state while monitoring pedestrian and vehicle movement. If the movement occurs, the respective lamp must glow at its full intensity, and also check for the fault over the lamp. This system identifies faults in the street lamps in real time and provides accurate data on defective lamps. With this diagnosing system, we can easily manage the healthy state of the lamps, and it results in increased maintenance of the lighting system. Using a streetlight automation system, which provides fault detection and dynamic adjustment of brightness, ensures enhanced public safety and infrastructure management in cities in a scalable, economical, and resource-efficient way.
Keywords: Arduino-uno, design, IR sensors, LDR, lighting system
[This article belongs to International Journal of Electronics Automation ]
Sangeetha S, Ganesh G, Jeeva R, Kavin K, Suriya S. Street Light Automation and Fault Detection. International Journal of Electronics Automation. 2025; 03(01):12-20.
Sangeetha S, Ganesh G, Jeeva R, Kavin K, Suriya S. Street Light Automation and Fault Detection. International Journal of Electronics Automation. 2025; 03(01):12-20. Available from: https://journals.stmjournals.com/ijea/article=2025/view=206665
References
1. Swami J, Patel H, Patel K, Bhalse MN. IoT Based Street Light Automation System. Int J Trend Res Dev. 2019 Apr; 6(2): 232–234.
2. Bhosale S, Gaware K, Phalke P, Wadekar D, Ahire P. IoT based dynamic control of street lights
for smart city. Int Res J Eng Technol. 2017 May; 4(5): 1181–3.
3. Satyaseel H, Sahu G, Agarwal M, Priya J. Light intensity monitoring & automation of street light control by Iot. Int J Innov Adv Comput Sci. 2017 Oct; 6(10): 34–40.
4. Dheena PF, Raj GS, Dutt G, Jinny SV. IOT based smart street light management system. In 2017 IEEE international conference on circuits and systems (ICCS). 2017 Dec 20; 368–371.
5. Nefedov E, Maksimainen M, Sierla S, Flikkema P, Yang CW, Kosonen I, Luttinen T. Energy efficient traffic–based street lighting automation. In 2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE). 2014 Jun 1; 1718–1723.
6.Shasim AA, Davanpelli S, Karande R, Bidkar K, Pardeshi T. Automatic Street Light. Multidisciplinary Research. 2025: 51.
7. Holenderski M, Verhoeven R, Ozcelebi T, Lukkien JJ. Light pole localization in a smart city. In Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA). 2014 Sep 16; 1–4.
8. Abinaya B, Gurupriya S, Pooja M. Iot based smart and adaptive lighting in street lights. In 2017 IEEE 2nd International Conference on Computing and Communications Technologies (ICCCT). 2017 Feb 23; 195–198.
9. Bhoir A, Penkar A, Mhatre M, Dalvi V. Solar based auto intensity control street light using arduino. Int Res J Eng Technol. 2018 Oct; 5(10): 1542–5.
10. Achebe Patience Nkiruka. Design and implementation of solar light for campus environment. Res J Engineering Sci. 2018 Dec 26; 7(11): 13–19.
11. Saifuzzaman M, Moon NN, Nur FN. IoT based street lighting and traffic management system. In 2017 IEEE region 10 humanitarian technology conference (R10-HTC). 2017 Dec 21; 121–124.
12. Leccese F. Remote-control system of high efficiency and intelligent street lighting using a ZigBee network of devices and sensors. IEEE Trans Power Deliv. 2012 Dec 20; 28(1): 21–8.
13. Sri T, Varma R, Krishna VH, Chowdary KV. Automated street lighting system. Int J Innov Technol Explor Eng. 2019 May; 8(7): 2920–2924.
| Volume | 03 |
| Issue | 01 |
| Received | 27/03/2025 |
| Accepted | 29/03/2025 |
| Published | 08/04/2025 |
| Publication Time | 12 Days |
Login
PlumX Metrics