iSociety: AutoGate LightTrack

Abstract

This project presents the development of an Automatic Pole Gate System integrated with a Smart Street Light System, aimed at enhancing transportation infrastructure through automation and energy efficiency. The automatic toll gate system utilizes technologies such as sensors and Arduino UNO microcontrollers to enable seamless. This minimizes human intervention, reduces traffic congestion, and will let us know how many car passes in a day. Simultaneously, the smart street light system operates based on ambient light sensors or motion detectors, ensuring that street lights are only active when necessary—either at night or when vehicles/pedestrians are detected. This significantly reduces energy consumption and maintenance costs. The integration of these two systems creates a smart, automated environment that enhances traffic flow, safety, and sustainability in urban and highway settings. Together, these systems contribute to the realization of intelligent transport infrastructure by combining automation, energy efficiency, and real-time monitoring.

Introduction

The project designs an Automatic Pole Gate system integrated with an Automatic Street Light using an Arduino UNO. It aims to automate vehicle access control and street lighting in restricted or residential areas like parking lots and society gates. The system uses ultrasonic or IR sensors to detect vehicles, automatically opening and closing the gate. Simultaneously, street lights turn on during low-light conditions using stored solar energy, enhancing security and conserving power. Additionally, it counts vehicles passing through daily.

Theory & Components:

• Automatic Pole Gate: Detects vehicles with ultrasonic sensors, controls gate operation via a servo/motor, and logs entries using a MySQL database.

• Automatic Street Light: Uses a Light Dependent Resistor (LDR) to sense ambient light and ultrasonic sensors to detect movement, controlling street lights via a relay. This conserves energy by only illuminating when needed.

Algorithm & Operation:

• Detect vehicle → open gate → count vehicle → close gate

• Detect vehicle movement on street → turn on lights ahead → turn off lights behind

Future Scope:

• Integrate AI for automatic number plate recognition and owner identification.

• Apply system in traffic signals for rule enforcement with real-time monitoring.

• Enhance street lights to recharge electrical devices using stored energy.

Conclusion

The project iSociety: AutoGate LightTrack successfully demonstrates the use of IoT for creating a smart and automated society. The system detects the presence of a vehicle at the gate and automatically opens and closes the gate, thereby reducing the need for manual intervention. Additionally, street lights are intelligently controlled by turning ON ahead of the moving vehicle and turning OFF behind it, ensuring both safety and energy efficiency. A car counting feature is also implemented to keep track of the number of vehicles passing through the society gate. Overall, the project highlights how IoT can be effectively applied for automation, security, energy saving, and convenience in modern smart societies.

References

[1] https://ieeexplore.ieee.org/stampPDF/getPDF.jsp?tp=&arnumber=8524314&ref=aHR0cHM6Ly9pZWVleHBsb3JlLmllZWUub3JnL2RvY3VtZW50Lzg1MjQzMTQ= [2] IOT-and-Machine-Learning-based-Automatic-Toll-Collection-SystemJuly2021[1].pdf [3] RFID_based_automatic_tollgate_collection[1].pdf [4] 10.2348.ijset09151273[1].pdf

Copyright

Copyright © 2025 Ms. Sakshi Kamble, Ms. Punam Kolhe, Ms. Neha Kolpe, Mr. Arya Kothavale, Prof. Nayana Thombare. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.