Tan, Wai Keat (2020) Portable automated number plate recognition (ANPR) system with database labelling interface. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)
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Abstract
Over the years, an automated number plate recognition system (ANPR) has played a significant role in security issues that arise globally. An automated number plate recognition (ANPR) system is a system that able to recognition number plates from image capture in a computer. As the number of vehicles on road is getting more nowadays, the ANPR system was introduced to help identify vehicles that may help in criminal deterrent, security problems, or parking systems. With the current market, the price of the ANPR system is overpriced. Moreover, the installation of the current ANPR system is complex. The maintenance fee of the ANPR system is also costly. The purpose of this project is to design a low-cost Portable Automated Number Plate (ANPR) system with database labelling interface. In this project, the Raspberry Pi board is used to replaced conventional large-size personal computers as central processing units in the ANPR system. A motion sensor acts as a vehicle detector. Raspberry Pi NoIR Camera can capture a moving vehicle when the motion sensor detects an object moving at a certain distance. Once the image is captured, number plate extraction, number plate segmentation, and number plate recognition will be done by Raspberry Pi. This paper will study and analyse the functionality and efficiency of the method used in the ANPR system The extracted plate number will then be saved into the database and displayed in the user-friendly database labelling interface
Item Type: | Final Year Project (Project Report) |
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Uncontrolled Keywords: | Database, Interface, Plate, Sensor, Functionality, Vehicle, Vehicles, Pi, Computers, Anpr, Portable automated number plate |
Divisions: | Library > Final Year Project > FTKEE |
Depositing User: | Norfaradilla Idayu Ab. Ghafar |
Date Deposited: | 29 Sep 2022 08:28 |
Last Modified: | 29 Sep 2022 08:28 |
URI: | http://digitalcollection.utem.edu.my/id/eprint/26660 |
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