Development Of Position Feedback Sensor Based On Vision Using Neural Network

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...

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Main Author: Yunos, Yushazaziah Mohd
Format: Thesis
Language:English
Published: 2009
Subjects:
Online Access:http://eprints.usm.my/41601/1/Yushazaziah_Mohd_Yunos24.pdf
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author Yunos, Yushazaziah Mohd
author_facet Yunos, Yushazaziah Mohd
author_sort Yunos, Yushazaziah Mohd
collection USM
description 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
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spelling usm.eprints-416012019-04-12T05:26:59Z http://eprints.usm.my/41601/ Development Of Position Feedback Sensor Based On Vision Using Neural Network Yunos, Yushazaziah Mohd TJ1-1570 Mechanical engineering and machinery 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 2009-12 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/41601/1/Yushazaziah_Mohd_Yunos24.pdf Yunos, Yushazaziah Mohd (2009) Development Of Position Feedback Sensor Based On Vision Using Neural Network. Masters thesis, Universiti Sains Malaysia.
spellingShingle TJ1-1570 Mechanical engineering and machinery
Yunos, Yushazaziah Mohd
Development Of Position Feedback Sensor Based On Vision Using Neural Network
title Development Of Position Feedback Sensor Based On Vision Using Neural Network
title_full Development Of Position Feedback Sensor Based On Vision Using Neural Network
title_fullStr Development Of Position Feedback Sensor Based On Vision Using Neural Network
title_full_unstemmed Development Of Position Feedback Sensor Based On Vision Using Neural Network
title_short Development Of Position Feedback Sensor Based On Vision Using Neural Network
title_sort development of position feedback sensor based on vision using neural network
topic TJ1-1570 Mechanical engineering and machinery
url http://eprints.usm.my/41601/1/Yushazaziah_Mohd_Yunos24.pdf
work_keys_str_mv AT yunosyushazaziahmohd developmentofpositionfeedbacksensorbasedonvisionusingneuralnetwork