NORMA eResearch @NCI Library

Vehicle Number Plate Detection and Blurring using Deep Learning

Shringarpure, Darshan Vijay (2023) Vehicle Number Plate Detection and Blurring using Deep Learning. Masters thesis, Dublin, National College of Ireland.

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Data privacy is a vital topic in today’s world, nowadays data is everything and everywhere. Every day, millions of sensitive data containing the personal information of users are generated. Many businesses that are handling this data makes reliable profit. User information is retrieve and identify using ANPR and other number plate detection system. This system is useful for collecting tolls and to generate parking ticket and this information can be used for malicious acts or monitor user’s behavior. Due to these issues, there must be a system that can hide or obscure data in captured images or recorded videos. This study exclusively focuses on data privacy, which guarantees number plate blurring based on deep learning. To accomplish the blurring objective YOLOv5 is used and the changes were made in the existing functionality of YOLOv5. UFPR dataset which contains 4500 images is used in this research. This model has achieved 99% detection with 100% blurring accuracy for images and 94% blurring accuracy for videos at 30 frames per second. Although detection accuracy is 99% this research has achieved 100% blurring of vehicle number plates to maintain the data privacy.

Item Type: Thesis (Masters)
Anant, Aaloka
Uncontrolled Keywords: Data Privacy; ANPR; YOLOv5; UFPR
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
T Technology > TL Motor vehicles. Aeronautics. Astronautics
K Law > KDK Republic of Ireland > Data Protection
Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning
Divisions: School of Computing > Master of Science in Data Analytics
Depositing User: Tamara Malone
Date Deposited: 26 May 2023 12:14
Last Modified: 26 May 2023 12:14

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