Smart IoT-Based Parking Assistance System | IJCT Volume 13 – Issue 3 | IJCT-V13I3P35
International Journal of Computer Techniques
ISSN 2394-2231
Author
Aarya Jain, Akhilesh Kotwal, Anish Papadkar, Ritesh Ubale, Sunidhi Bangera
Abstract
With the rapid increase in vehicles, parking management has become a major challenge in urban areas. Traditional parking systems lack real-time information, leading to congestion, time wastage, and inefficient space utilization. This project proposes a Smart IoT-Based Parking Assistance System that uses ultrasonic sensors and ESP32 microcontrollers to detect parking slot availability in real time. The system provides floor-wise dashboards and a QR-based mobile interface for users to check availability and select slots efficiently. The solution is low-cost, scalable, and designed to improve user convenience without relying on complex navigation systems.
Keywords
Smart Parking System, IoT, ESP32, Ultrasonic Sensor, QR Code Interface, Urban Parking Management, Real-Time Monitoring.
Conclusion
The proposed Smart IoT-Based Parking Assistance System successfully addresses one of the most common yet overlooked urban problems — the inefficiency of finding available parking in structured spaces. By combining affordable ultrasonic sensors, an ESP32 microcontroller, a real-time Firebase database, and a QR-accessible web interface, the system delivers a complete end-to-end solution that is practical, cost-effective, and genuinely easy to use.
Unlike complex existing systems that rely on expensive hardware or require users to install dedicated applications, our system keeps the user experience as simple as possible — scan a QR code and instantly see which floor and slot is available. This simplicity is not a limitation but a deliberate design choice, making the system accessible to everyone from tech-savvy students to elderly mall visitors.
Overall, this project demonstrates that solving real-world problems does not always require complex technology. Sometimes a well-thought-out combination of affordable components and a user-centered design approach can create a solution that is more practical and impactful than systems built with far greater resources.
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How to Cite This Paper
Aarya Jain, Akhilesh Kotwal, Anish Papadkar, Ritesh Ubale, Sunidhi Bangera (2026). Smart IoT-Based Parking Assistance System. International Journal of Computer Techniques, 13(2). ISSN: 2394-2231.
