Develop an augmented reality measuring tool for marine life
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 suc...
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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2023
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| Online Access: | http://eprints.utar.edu.my/6004/ http://eprints.utar.edu.my/6004/1/fyp_IA_2023_YCW.pdf |
| _version_ | 1848886561280622592 |
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| author | Yong, Chung Wei |
| author_facet | Yong, Chung Wei |
| author_sort | Yong, Chung Wei |
| building | UTAR Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T19:40:27Z |
| format | Final Year Project / Dissertation / Thesis |
| id | utar-6004 |
| institution | Universiti Tunku Abdul Rahman |
| institution_category | Local University |
| last_indexed | 2025-11-15T19:40:27Z |
| publishDate | 2023 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utar-60042024-01-04T15:11:57Z Develop an augmented reality measuring tool for marine life Yong, Chung Wei H Social Sciences (General) T Technology (General) 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. 2023-06 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/6004/1/fyp_IA_2023_YCW.pdf Yong, Chung Wei (2023) Develop an augmented reality measuring tool for marine life. Final Year Project, UTAR. http://eprints.utar.edu.my/6004/ |
| spellingShingle | H Social Sciences (General) T Technology (General) Yong, Chung Wei Develop an augmented reality measuring tool for marine life |
| title | Develop an augmented reality measuring tool for marine life |
| title_full | Develop an augmented reality measuring tool for marine life |
| title_fullStr | Develop an augmented reality measuring tool for marine life |
| title_full_unstemmed | Develop an augmented reality measuring tool for marine life |
| title_short | Develop an augmented reality measuring tool for marine life |
| title_sort | develop an augmented reality measuring tool for marine life |
| topic | H Social Sciences (General) T Technology (General) |
| url | http://eprints.utar.edu.my/6004/ http://eprints.utar.edu.my/6004/1/fyp_IA_2023_YCW.pdf |