Development Of Position Feedback Sensor Based On Vision Using Neural Network

Yunos, Yushazaziah Mohd (2009) Development Of Position Feedback Sensor Based On Vision Using Neural Network. Masters thesis, Universiti Sains Malaysia.

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Abstract

Pengukuran untuk kedudukan lurus adalah asas dalam pelbagai proses industri terutamanya sebagai penderia suapbalik kedudukan. Enkoder optik adalah antara penderia kedudukan yang banyak digunakan. Bagaimanapun, beberapa kekurangan didapati dalam penggunaannya. Kerja yang dicadangkan ini mengambil pendekatan dengan membina penderia kedudukan menggunakan pengelasan imej. Imej telah dikelaskan menggunakan rangkaian neural. Measurement of linear position is fundamental in many industrial processes especially as positioning feedback. Optical encoder is one of the frequently used position sensor. Unfortunately, there are some disadvantages in the usage of this type of encoder. This proposed work presents an approach to build a position sensor using image classification. The image was classified by using supervised backpropagation neural network. Input image that was fed to the classifier is a grayscale image of the surrounding environment (up view) which was captured to represent the position

Item Type:	Thesis (Masters)
Subjects:	T Technology > TJ Mechanical engineering and machinery > TJ1-1570 Mechanical engineering and machinery
Divisions:	Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraan Mekanikal (School of Mechanical Engineering) > Thesis
Depositing User:	Mr Mohammad Harish Sabri
Date Deposited:	30 Aug 2018 02:04
Last Modified:	12 Apr 2019 05:26
URI:	http://eprints.usm.my/id/eprint/41601

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