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