DSpace Repository

Smart parking management system

Show simple item record

dc.contributor.author Shad, Abdullah
dc.date.accessioned 2025-09-02T03:32:20Z
dc.date.available 2025-09-02T03:32:20Z
dc.date.issued 2024-06-26
dc.identifier.citation CIS en_US
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/14186
dc.description Project en_US
dc.description.abstract The full results of my proposal, titled "Smart parking management system," are available for reading here. The steps used to turn the concept into a functional website are covered in full in this article. One component that stands out to system users is the user dashboard like: Register vehicles & Vehicles Entry or Exit. An AI-based parking management system is the main focus of this project. It analyzes input photographs to identify license plates, compares them to a registration database, and generates a record with time and other information. The system issues a red warning notice if the license plate is unregistered. The system makes use of a trained dataset to accomplish precise license plate identification and effective administration. The retrieved license plate number is then compared to an existing database of registered cars by the system. Important facts including the time of entry, vehicle information, and any other records connected to the plate are recorded if the number matches an item in the database. Vehicle parking has been two processes: Entry and Out. Nevertheless, the technology instantly sounds a red caution alert to inform parking officials or security staff if the license plate is not located in the database. This guarantees that automobiles that are unregistered or unlicensed are quickly reported. A strong dataset that has been trained to identify multiple license plate types supports the system's operation, guaranteeing great accuracy in a variety of geographical locations and lighting scenarios. By offering real-time monitoring, decreasing human error, and boosting general security and efficiency, this AI-driven technology improves parking management. From conception to implementation, the study covers every facet of the web application development process, including its architecture, user interface design, and technologies employed. Html was utilized for the user interface, whereas was utilized for the backend for python AI. Costly software or computer components are not necessary to set up our system application; all you need is a typical desktop computer and internet connectivity. en_US
dc.description.sponsorship DIU en_US
dc.publisher DAFFODIL INTERNATIONAL UNIVERSITY en_US
dc.subject Smart Parking IoT (Internet of Things) en_US
dc.subject Parking Management Intelligent en_US
dc.subject Transportation System (ITS) en_US
dc.subject Real-Time Monitoring en_US
dc.subject Sensor Networks en_US
dc.title Smart parking management system en_US
dc.type Other en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Browse

My Account