International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 04 | Apr 2025
p-ISSN: 2395-0072
www.irjet.net
IoT Driven-Smart Lighting System & U-Turn Motion Detection 1Dr A Radhika, 2V. Dhaarani, 3A. Phani, 4J. V. Vishal, 5P. HarshaVardan
Professor1, Department of computer science and engineering, SRK Institute of Technology, NTR, Andhra Pradesh, India Student2, Department of computer science and engineering, SRK Institute of Technology, NTR, Andhra Pradesh, India ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract – The project proposes an intelligent IoT-based
for Efficient Energy Management [3]. The paper explores the role of sensor-based systems in energy-efficient applications. It discusses the integration of various sensors, including light and temperature sensors, to automate energy management in smart systems. H. M. Kord, H. L. Chan (2020), A Review on Intelligent Motion Detection System [4]. This review paper analyses different motion detection methods, including ultrasonic and infrared sensors, for improving security and traffic management. The study highlights the limitations of conventional systems and the benefits of intelligent sensor fusion. R. K. Gupta, P. Verma (2022), IoT-Enabled Smart Lighting and Motion Detection for Sustainable Cities [5]. This study integrates IoT-based automation with real-time data monitoring to develop a smart lighting and motion detection system. The system focuses on optimizing lighting while detecting specific movement patterns, ensuring better energy efficiency and safety.
Smart Lighting system and U-turn motion detection to improve energy efficiency and road safety. An LDR sensor adjusts LED brightness based on ambient light, IR Sensors helps to detect the motion of the object in the field while ultrasonic sensors detect U-turns and activate alert LEDs. The system operates autonomously, reduces energy wastage, prevents accidents and improves motion detection accuracy.The design dynamically adjusts LED lighting to minimize energy wastage and provides timely alerts for U-turn movements, ensuring improved monitoring and safety. The system offers significant improvements over traditional models by reducing energy consumption and enhancing responsiveness. Key Words: Smart Lighting System, IoT, Motion Detection, Uturn Detection, Energy Efficiency, Ultrasonic Sensor, LDR Sensor, Smart City Infrastructure
3. SMART LIGHTING SYSTEM
1.INTRODUCTION
The collected data from the sensors is sent to the cloud, and thus the lighting system can be remotely controlled and monitored in real-time. Using this platform, it is possible to measure traffic use and energy usage so that infrastructural planning can be aimed at reducing operational costs. On the other hand, it is anticipated that IoT technology will help in energy-savings preservation and improve the safety of highway users by providing appropriate light conditions
This research explores the development of a smart lighting system and U-Turn Motion Detection, a project that integrates various sensor inputs to enhance automation and safety in dynamic environments. The system leverages an LDR sensor to continuously monitor ambient light levels, ensuring that lighting adjustments are made automatically in response to changing environmental conditions. Furthermore, the design includes a component for U-turn detection using an ultrasonic sensor paired with LED indicators. This configuration is intended
3.1 Tools used in Smart lighting system • • • • •
2.LITERATURE REVIEW J. P. Wen, S. J. Wang (2019), Energy-Efficient Smart Street Lighting System [1]. This study focuses on the development of an intelligent street lighting system using sensor-based automation to optimize energy consumption. The system dynamically adjusts lighting based on ambient light levels and traffic movement, reducing unnecessary power usage. A. K. Prajapati, R. Sharma (2021), Adaptive Lighting System for Urban Environments [2]. This research presents an adaptive lighting mechanism that utilizes LDR and weather sensors to enhance lighting efficiency. The proposed model integrates environmental monitoring to improve energy savings and sustainability. M. T. Penella, M. Gasulla (2017), Smart Sensing
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IR Sensor Microcontroller - Arduino or ESP32/ESP8266 PIR (passive Infrared) motion senor Light Source – LEDs Ambient Light Sensor – LDR (Light Dependent Resistor) Dimming Feature
4. U-TURN MOTION DETECTION U-turn motion detection in Ghat section roads is a crucial application of advanced traffic monitoring systems aimed at improving road safety and traffic management. Ghat roads, characterized by winding curves, steep inclines, and sharp turns, often pose significant challenges for drivers due to reduced visibility and higher accident risk.
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