International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | IoT-Driven Intelligent Campus Transit with RFID-Based Credit Tracking System |
|---|---|
| ABSTRACT | The increasing dependence on institutional transportation has created a need for smarter and more reliable monitoring systems. Conventional approaches used in schools and colleges for handling transport fees are mostly manual, making the process slow, less secure, and difficult to track in real time. To overcome these limitations, this project introduces an intelligent campus transport system that combines Internet of Things (IoT) technology with RFID-based identification and a credit-oriented payment mechanism. In the proposed system, every student is assigned a personalized RFID card embedded with a unique identification number. This ID is connected to a digital account where transport credits are maintained. When a student enters the bus, the RFID reader captures the card information and forwards it to the ESP32 controller. The controller processes the data and verifies whether sufficient credit is available in the student’s account. If the balance meets the required condition, the system automatically deducts the travel cost and updates the remaining credit instantly. The updated balance is then presented on an LCD screen, allowing both the student and operator to view the current status without delay. If the system detects that the available credit is exhausted or below the required level, it immediately triggers an alert using a buzzer and displays a warning message. This ensures that unauthorized travel is minimized and proper monitoring is maintained at all times. In addition to this, an Android-based administrative interface is developed to simplify the process of updating payment details and recharging credits. The administrator can securely manage all student accounts through this application without relying on manual record keeping. By integrating IoT connectivity, the system ensures smooth communication between hardware components and the backend system, making the entire process efficient and scalable. The proposed solution not only reduces human effort but also improves accuracy, transparency, and operational control. This system can serve as a modern replacement for traditional transport management methods in educational institutions, offering a secure, automated, and user-friendly approach. |
| AUTHOR | NANDHITHA.K, NANTHINI.S, VANISHREE.N, A. POOJAA UG Students, Department of Electronics and Communication Engineering, Mahendra College of Engineering, Salem, Tamil Nadu, India Assistant Professor, Department of Electronics and Communication Engineering, Mahendra College of Engineering, Salem, Tamil Nadu, India |
| VOLUME | 183 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1404127 |
| pdf/127_IoT-Driven Intelligent Campus Transit with RFID-Based Credit Tracking System.pdf | |
| KEYWORDS | |
| References | 1. R. Kumar and S. Verma, “IoT Based Smart Transportation System for Educational Institutions,” IEEE International Conference on Smart Systems, 2021. 2. P. Sharma and A. Gupta, “RFID Based Student Monitoring and Transport Management System,” International Journal of Engineering Research & Technology, 2020. 3. Uichin Lee, Yunhee Ku, Chanhee Lee, and YoungjiKoh, “Smart Sensing Technologies for Connected Systems,” Journal of Smart Systems, 2023. 4. I. WayanMustika, FitriYuliZulkifli, and A’isyaNurAulia Yusuf, “Mobile-Based Monitoring System for Smart Applications,” International Journal of Smart Technologies, 2018. 5. Vilas Rathod, HemlataOhal, and MrunalFatangare, “Wireless Monitoring Systems Using IoT for Real-Time Applications,” International Journal of Innovative Technology, 2023. 6. AdwaithSreedher, NehaaPravin, Haritha Nair, and Prabha P. Lakshmi, “IoT Based Multi-Sensor Monitoring System,” International Journal of Smart Healthcare Systems, 2022. 7. M. A. Al Rakib, M. S. Mahamud, and F. I. Abbas, “Embedded IoT System for Real-Time Monitoring Applications,” International Conference on Automation and Control, 2021. 8. R. Shashidhar, S. Abhilash, and V. Sahana, “Cloud Integrated IoT Monitoring System,” International Journal of Scientific and Technology Research, 2020. 9. D. Balaji, “IoT and Cloud Based Tracking and Monitoring System,” International Journal of Computer Science Engineering, 2022. 10. R. Jayasingh, J. David, and D. Daniel, “IoT Based Real-Time Monitoring System Using NodeMCU,” International Conference on Devices and Circuits, 2020. 11. K. J. Lakshmi, A. Muneshwar, and P. Kodali, “Smart Monitoring System Using Embedded Sensors,” International Conference on Communication and Signal Processing, 2020. 12. S. Pradeep and N. Karthik, “RFID and IoT Based Smart Transport Access Control System,” International Journal of Advanced Research in Electronics, 2021. |
