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Development of a tracking algorithm for the Ocean Battery bladder

Will, Nicolas (2021) Development of a tracking algorithm for the Ocean Battery bladder. Integration Project, Industrial Engineering and Management.

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Final Report (FR), Nicolas Will (3785408), IEM Bachelor Integration Project.pdf

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Abstract

The Ocean Grazer company desires a quantitative method to assess stretching in their Ocean Battery, by using a tracking algorithm for video input. The input had a large amount of noise. Initial cleaning of the inputs is required in MATLAB to assess the stretching. Multiple frames are used to form an average image. A median filter and flexible threshold are applied to the grey image to convert the input into a binary image. The cleanness of the image significantly improved after the application of the average image. To check the effectiveness of the cleaning effort a 3D representation of the input is created. The second part of the program estimated the stretching of the input. Three different objects are used, which are created in SolidWorks. The first object has a parabolic shape, the second a strong bend, and the last one a w-shaped bend. All three shapes are stretched by 2%, 5%, and 10%. The program can identify the upper outer line of the object and create an approximation of the detected upper line. The line is used to calculate the length of the object. The original length of the object is inputted to calculate the stretching of the material. Lastly, the stresses from the stretching are calculated and compared to the yield strength of the bladder material. The results indicate the success of the cleaning of the image. The stretching calculations yielded accurate results for a stretch of 2%, but are less accurate for a higher stretch and complexity of the shape.

Item Type: Thesis (Integration Project)
Supervisor name: Jayawardhana, B. and Munoz Arias, M.
Degree programme: Industrial Engineering and Management
Thesis type: Integration Project
Language: English
Date Deposited: 11 Jun 2021 11:23
Last Modified: 11 Jun 2021 11:23
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/24542

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