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Develop an augmented reality measuring tool for marine life

Yong, Chung Wei (2023) Develop an augmented reality measuring tool for marine life. Final Year Project, UTAR.

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    This is the student Final Year Project to develop an augmented reality measuring tool for marine life. The project will involve several techniques and open-source such as OpenCV, AR Core, and machine learning. The main purpose of this project is able to measure multiple type of marine life such as fish, prawn and crab. The application of this project able to estimate the length and weight of marine life while performing measuring. First of all, it requires a machine learning to train a pre-trained object detection module to determine the object is what type of marine life. So that, the application only will measure marine life object that detected by the pre-trained module. After that, it will estimate the size and type of the marine life. OpenCV will be used in input processing for the input of pre-trained module. Other than that, the output of the result will display in augmented reality with AR Core technique. After that, it also can estimate the type of fish, prawn and crab such as mud crab, flower crab, black tiger prawn, fresh water prawn, grouper fish and pomfret fish. It also can be achieve using machine learning with mobilenet machine learning module. It requires to collect huge among of image data for machine learning training purpose in order to achieve wanted accuracy. Moreover, the application also able to estimate the freshness of the marine life. It will achieve through image processing to estimate the freshness of marine life such as fish, prawn and crab.

    Item Type: Final Year Project / Dissertation / Thesis (Final Year Project)
    Subjects: H Social Sciences > H Social Sciences (General)
    T Technology > T Technology (General)
    Divisions: Faculty of Information and Communication Technology > Bachelor of Information Systems (Honours) Information Systems Engineering
    Depositing User: ML Main Library
    Date Deposited: 04 Jan 2024 23:11
    Last Modified: 04 Jan 2024 23:11
    URI: http://eprints.utar.edu.my/id/eprint/6004

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