Browsing by Author "Moriom Islam Mou"

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    Vehicle Detection, Tracking, and Counting System with Number Plate Recognition in a Petrol Station
    (North South University, 2023) Shadman Sakib; Rahul Deb Roy; Moriom Islam Mou; Dr. Shazzad Hosain; 1931024042; 1931132042; 1931333042
    The efficient management of vehicles within a petrol station is a critical aspect of ensuring smooth operations, security, and customer service. In this technological age, the integration of vehicle tracking and number plate recognition systems has become imperative. The primary objective of this system is to provide real-time monitoring of vehicle entry and exit, enabling the station management to accurately track the number of vehicles on the premises at any given time. The system utilizes cameras equipped with license plate recognition software to capture and recognize vehicle number plates as vehicles enter and exit the station. Petrol stations, at the heart of transportation networks, serve as vital nodes for the distribution of fuel and energy resources. Efficiently managing the flow of vehicles through these stations is essential for ensuring smooth operations, enhancing security, and optimizing customer service. After conducting extensive market research, we identified a significant gap in the application of vehicle tracking, counting, and classification technology at petrol stations. Our analysis revealed that this technology had not been effectively implemented in the real world, despite its potential to bring substantial benefits to the industry. The intricate process of detecting, tracking, Bangla Number plate detection and tallying vehicle types within a CCTV surveillance system is an inherently sophisticated yet remarkably efficient operation. For the subsequent stage of vehicle counting, we harnessed the capabilities of Python, the Ultralights library, and OpenCV. Moreover, the datasets are collected from Kaggle and Roboflow for training purposes.