QR-BASED SMART PARKING SYSTEM USING ARDUINO
L VIGNESH1, ANAGANDULA VENKATESH2, V.N.S. MANASWINI3, SHIVA KUMAR CHATANOJ4, CHEEPURUPALLI GANESH5
1Dept. of Computer Science & Engineering (IOT), Siddhartha Institute of Technology and Sciences. Email: 21tq1a6914@siddhartha.co.in
2Dept. of Computer Science & Engineering (IOT), Siddhartha Institute of Technology and Sciences. Email: 21tq1a6912@siddhartha.co.in
3Assistant Professor, Dept. of Computer Science & Engineering, Siddhartha Institute of Technology and Sciences. Email: manaswini.cse@siddhartha.co.in
4Dept. of Computer Science & Engineering (IOT), Siddhartha Institute of Technology and Sciences. Email: 21tq1a6913@siddhartha.co.in
5Dept. of Computer Science & Engineering (IOT), Siddhartha Institute of Technology and Sciences. Email: 21tq1a6911@siddhartha.co.in
Abstract
Current parking systems involve huge manpower for management and require users to search for parking spaces floor by floor. This project aims to develop a Smart Parking System that utilizes QR code technology and IR sensors to enhance vehicle management and optimize parking space utilization, with Arduino serving as the main microcontroller. The purpose of this smart parking system is to streamline the vehicle parking process by providing real-time slot availability and guiding vehicles to empty spaces within the parking area. In this system, when a vehicle enters the parking facility, it scans a QR code at the entrance and displays the outline of the available parking slot. This method employs sensors to monitor slot occupancy and ensures accurate, up-to-date information on vacant slots. After scanning the QR code, the driver is directed to an available slot, reducing time spent searching and minimizing congestion. The project utilizes IR sensors, QR code scanning, and LCD display to provide a seamless parking experience. The results show that this QR-based smart parking system improves parking efficiency, saves time, and reduces traffic within parking areas, making it a feasible and scalable solution for modern parking challenges.
Keywords
Smart parking system, QR code technology, IR sensors, Arduino microcontroller
References
We would like to thank these authors for their help in making this project come to life. Without their papers and insight into this field, it would’ve been difficult to progress through this project. The only way I can thank these authors is by adding them as my reference.
- P. Melnyk, S. Djahel and F. Nait-Abdesselam, “Towards a Smart Parking Management System for Smart Cities,” 2019 IEEE International Smart Cities Conference (ISC2), Casablanca, Morocco, 2019, pp. 542-546, doi: 10.1109/ISC246665.2019.9071740.
- P. Sadhukhan, “An IoT-based e-parking system for smart cities”, 2017 International Conference on Advances in Computing Communications and Informatics (ICACCI), pp. 1062-1066, Sep. 2017.
- N. Mejri et al., “Reservation-based multi-objective smart parking approach for smart cities”, 2016 IEEE International Smart Cities Conference (ISC2), pp. 1-6, Sep. 2016.
- J. Silar et al., “Smart parking in the smart city application”, 2018 Smart City Symposium Prague (SCSP), pp. 1-5, May 2018.
- G. Yan et al., “Smartparking: A secure and intelligent parking system”, IEEE Intelligent Transportation Systems Magazine, vol. 3, no. 1, pp. 18-30, 2011.
- “Smart Parking Systems: A Survey” by T. Rehmani et al. (2017): Provided insights into existing smart parking systems, their architectures, and challenges.
- “IoT-based Smart Parking System” by B. Z. Mahadevan and P. S. S. Srinivas (2020): Offered knowledge on integrating IoT in parking systems, real-time slot monitoring, and automation.
Online Resources:
- Arduino Official Website: Key resource for Arduino boards, sensors, and tutorials for hardware setup and microcontroller programming.
- Python QR Code Library: Used to generate QR codes for parking slot information and navigation.
- PlantUML: Utilized for creating UML diagrams, including Use Case, Sequence, and Class Diagrams to design the system.
Websites and Articles:
- “How QR Codes Work”: Guide for creating QR codes, which was vital for real-time slot monitoring and navigation.
- “Introduction to IR Sensors”: Tutorial explaining the working principle of IR sensors used to detect vehicle presence.
- Lucidchart: Tool for designing UML diagrams, which assisted in mapping the system’s software structure and interactions.
Software and Tools:
- Arduino IDE: Used for programming the Arduino board and integrating hardware components.
Books:
- “Arduino: A Technical Reference” by Jörn Düson: Provided in-depth guidance on using Arduino for embedded systems.
- “Practical Electronics for Inventors” by Paul Scherz and Simon Monk: Offered comprehensive information on selecting sensors and components for the system.
These references played a crucial role in shaping the design, functionality, and implementation of the QR-Based Smart Parking System using Arduino.
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