Authors: Tô Duy An, Cấn Việt Minh, Dương Minh Thắng, Bùi Phú Cường, Đặng Nhật Triều, Lưu Phương Trà
Faculty: Hanoi University of Science and Technology (HUST)
The research topic at hand explores the development of a Smart Parking System utilizing image processing technology for parking spot recognition.
Parking in urban areas has become an increasingly challenging and time-consuming task, often resulting in congestion, wasted fuel, and frustration. To address these issues, Smart Parking Systems have gained prominence, leveraging cutting-edge image recognition technology to efficiently identify and manage parking space availability.
This abstract provides an overview of the research, highlighting the core components of the Smart Parking System. The system comprises several key elements: the image capture system, image processing algorithms, a central management system, and the user interface. The image capture system utilizes cameras placed strategically throughout the parking facility to capture real-time images of parking spaces. Image processing algorithms then analyze these images to detect and recognize the availability of parking spots. The central management system collates and manages the parking data, providing real-time information to users through the user interface, which can be accessed through mobile apps or digital displays at the parking facility.
The implementation of this Smart Parking System promises to significantly reduce the time and effort required to find parking spaces, mitigating traffic congestion, and reducing carbon emissions associated with circling for parking. Additionally, it enhances the overall user experience by providing drivers with real-time parking availability information, thereby optimizing the utilization of parking spaces.
The utilization of image processing technology for parking spot recognition in a Smart Parking System represents a practical and efficient solution to the growing urban parking challenges. This research contributes to the field of transportation and urban planning by offering a viable means of alleviating parking-related issues and improving the quality of urban life.