Measurement of geometrical tolerances using machine vision / Mohamad Nabil Wahid

Wahid, Mohamad Nabil (2010) Measurement of geometrical tolerances using machine vision / Mohamad Nabil Wahid. Degree thesis, Universiti Teknologi MARA.


Machine Vision is a one of geometrical measurements that uses a digital imaging technology. It employs image processing software to measure and thus to obtain the measured dimension of the product. With the use of Machine Vision, visual inspections that require high-speed, high-magnification, 24-hour operation, and/or repeatability of measurements are possible. In this project, the purpose is to measure and obtain the measured dimension of a camshaft of an automotive car. All the programming will be created and developed by using WiT Image Processing Software with an assist of C++ code. A trial and error approach will be used until the suitable programme that created is satisfied all the requirement in term of accuracy, consistency and adaptability of it's to analyze and interpret the image to obtain the required dimension parameter. It is vital in this project to have a perfect image acquisition of the camshaft so that the image produces in the computer is clear and sharp enough to define its edges and thus to generated the required dimension using the developed program. To obtain the required image, a good lightning must first be set-up before any image acquisition can be done, All the dimensions obtain will be compared with the contact approach method as which has the best method in determine the geometrical tolerances of the camshaft.


Item Type: Thesis (Degree)
Email / ID Num.
Wahid, Mohamad Nabil
Email / ID Num.
Thesis advisor
Ayub, Muhammad Azmi (Assoc. Prof. Dr. Ir.)
Subjects: T Technology > TJ Mechanical engineering and machinery > Machine shops and machine shop practice
T Technology > TJ Mechanical engineering and machinery > Machine construction (General)
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Mechanical Engineering
Programme: Bachelor Engineering (Hons) (Mechanical)
Keywords: Machine Vision, Geometrical, Imaging, Technology
Date: 2010
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