RFID Based Petrol Pump Automation System

Abstract

The increasing demand for automation in fuel distribution systems has highlighted the need for efficient, secure, and transparent petrol pump operations. Conventional fuel dispensing methods rely heavily on manual processes, leading to inaccuracies, fuel theft, and time inefficiencies. This paper presents the design and implementation of an RFID-based petrol pump automation system that enables secure, cashless, and automated fuel dispensing. Each user is assigned a unique RFID tag linked to a centralized database containing account balance and transaction details. Upon scanning the RFID tag, the system authenticates the user and allows fuel dispensing based on available balance. The proposed system reduces human intervention, improves accuracy, and ensures real-time monitoring. Experimental results indicate improved efficiency, reduced waiting time, and enhanced security. The system provides a scalable solution for modern smart fuel stations.

Introduction

Petroleum, known as “liquid gold,” is a valuable non-renewable resource essential for modern industries and transportation. However, traditional petrol pump systems rely heavily on manual operations, leading to issues such as long queues, inaccurate fuel dispensing, and fraudulent practices.

To overcome these problems, the paper proposes an RFID-based automated petrol dispensing system that enables secure, efficient, and cashless fuel transactions. In this system, users authenticate themselves using RFID cards, and an Arduino-based control unit manages fuel dispensing based on user input and account balance.

The system integrates hardware components such as RFID reader, Arduino UNO, relay, keypad, LCD display, and DC motor. Once a valid RFID card is scanned, the system verifies user credentials, checks balance, accepts fuel input, and activates the pump via a relay. After dispensing the required fuel, the system automatically stops the pump and updates the user’s balance.

Compared to traditional and earlier control systems (manual, logic gates, PLC), the proposed system reduces human intervention, improves accuracy, and enhances security. The prototype implementation demonstrates reliable performance with precise fuel dispensing and prevention of unauthorized access.

Key advantages of the system include elimination of manual errors, prevention of fuel theft, reduced waiting time, accurate billing, real-time monitoring, and support for cashless transactions.

Conclusion

The RFID-based petrol pump automation system presents an efficient and reliable solution to the limitations of conventional fuel dispensing methods. By integrating RFID technology with embedded control systems, the proposed model enables secure, accurate, and contactless fuel transactions. It significantly reduces human intervention, thereby minimizing errors, fraudulent activities, and operational delays. The system also enhances transparency through automated billing and real-time transaction recording, ensuring better accountability and management. Furthermore, the adoption of cashless transactions improves user convenience and aligns with the growing trend of digitalization. The modular design of the system allows easy scalability and integration with advanced technologies such as IoT and cloud-based monitoring. Overall, the implementation of this system can modernize petrol pump operations, improve service efficiency, and provide a robust framework for future smart fuel management systems.

References

[1] P. Lavanya et al., “Automated Petrol Pump System,” IJARCCE, 2023. [2] L. Z. Qian et al., “Implementation of Self-service Petrol Stations based RFID Technology,” IJDSAA, 2022. [3] S. Sable et al., “Automated Fuel System Using RFID Technology,” IJRASET, 2024. [4] P. Shelar et al., “RFID Based Petrol Pump Automation System,” IJSRET, 2026. [5] K. Chaudhary et al., “RFID Based Automated Petrol Pump System,” IJARCCE, 2020. [6] S. Ponmalar et al., “RFID Based Petrol Pump Automation System,” IRJET, 2020

Copyright

Copyright © 2026 Piyush Kushwaha, Akash Singh, Himanshu Sharma, Ritesh Chauhan, Prakhar Srivastav, Praval Sharma. 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.