A Mobile Application for IoT-Based Car Parking

This paper presents an innovative IoT-based car parking system aimed at solving parking issues. Our proposed application aims to develop a user-friendly mobile application that integrates with IoT technology to provide real-time updates on parking availability. With the growing number of users, it is necessary to implement a more efficient and data-driven parking management system. The key issue this project aims to address is the challenge of finding available parking spaces for users. This problem causes inconvenience, congestion, and wasted time. This paper proposes a design methodology that incorporates Infrared (IR) sensors into each parking slot to accurately detect the presence of cars. The data is sent to a cloud server and seamlessly integrated into a mobile app for the user to access. The project’s major results include the successful development of a mobile application using the Flutter framework, which provides a cross-platform solution for users. Firebase was utilized as the database and user authentication system for efficient data management. The evaluation results show that the IoT-based car parking system has greatly enhanced the users’ parking experience by enabling them to easily locate and reserve parking spaces.