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EZMechanic: Technical Report

Munteanu, Filip (2022) EZMechanic: Technical Report. Undergraduate thesis, Dublin, National College of Ireland.

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The report will provide a general overview of the aim of EZMechanic , it will explain the necessary functional requirements that application needs to have and also some non-functional requirements. It will look at the implementation and the user interface.

The core focus of the project is to use machine learning to be able to detect what a car part is from the image that a user will upload.

Other focuses will be the creation and storage of user credentials to gain access to the application.

Once the object is scanned, the application will update automatically to inform the user what the car part is and also display the location of the object with bounding boxes.

The conclusion of the project is that app is simple to use, and users can save time searching as to what a part may be by using the application . The application may not be able to detect between very similar parts. It can detect between substantially different parts of the car.

Item Type: Thesis (Undergraduate)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Q Science > QA Mathematics > Computer software
T Technology > T Technology (General) > Information Technology > Computer software
T Technology > TL Motor vehicles. Aeronautics. Astronautics
Divisions: School of Computing > Bachelor of Science (Honours) in Computing
Depositing User: Clara Chan
Date Deposited: 12 Sep 2022 11:57
Last Modified: 12 Sep 2022 11:57

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