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Vision module for smart ping pong collector robot / Mohd Baihaqi Bin Mohd Adenan

By:

Mohd Baihaqi Mohd Adenan

Material type: Text

TextPublication details: Kuantan, Pahang : UMP, 2007Description: 42 p. : ill. (some col.) ; 30 cm. + 1 computer discISBN:

THE0006077(Local)

Other title:

Vision module for smart ping pong collector robot [electronic resource]

Subject(s):

Dissertation note: Project paper (Bachelor of Electrical Engineering (Power systems)) -- Universiti Malaysia Pahang - 2007 Summary: The purpose of this project is to design and develop a pattern recognition system with using Artificial Neural Network (ANN) that can recognize the type of image based on the features extracted from the choose image. This system which can fully recognizing the types of the data had been add in the data storage or called as training data. The Graphic User Interface in Neural Network toolbox is used. This is the alternative way to change the common usage of the MATLAB which are use the command insert at command window. From this kind of system, we just need to insert the features data or training data. The recognition done after we insert the test data. The system will recognize whether the output is match with the training data. Then output will produce a kind of graph that describes the feature of the data which is same as the training data.-Author

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Holdings ( 2 )
Title notes ( 2 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Final Year Report	UMPLIB PEKAN	TJ211.3 .B35 2007 rs Thesis (Browse shelf(Opens below))	1	Not for loan		0000029282
Final Year Report	UMPLIB PEKAN	CD 2610 \| TJ211.3 .B35 2007 rs Thesis (Browse shelf(Opens below))	1	Not for loan		0000029283

Project paper (Bachelor of Electrical Engineering (Power systems)) -- Universiti Malaysia Pahang - 2007

The purpose of this project is to design and develop a pattern recognition system with using Artificial Neural Network (ANN) that can recognize the type of image based on the features extracted from the choose image. This system which can fully recognizing the types of the data had been add in the data storage or called as training data. The Graphic User Interface in Neural Network toolbox is used. This is the alternative way to change the common usage of the MATLAB which are use the command insert at command window. From this kind of system, we just need to insert the features data or training data. The recognition done after we insert the test data. The system will recognize whether the output is match with the training data. Then output will produce a kind of graph that describes the feature of the data which is same as the training data.-Author