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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40890

Title: Visual Recognition and Its Application to Robot Arm Control
Authors: Jih-Gau Juang
Yi-Ju Tsai
Yang-Wu Fan
Contributors: 國立臺灣海洋大學:通訊與導航工程學系
Keywords: optical character recognition
fuzzy control
image processing
robot arm
Date: 2015
Issue Date: 2017-02-07T03:49:20Z
Publisher: Applied Science
Abstract: Abstract: This paper presents an application of optical word recognition and fuzzy control to a smartphone automatic test system. The system consists of a robot arm and two webcams. After the words from the control panel that represent commands are recognized by the robot system, the robot arm performs the corresponding actions to test the smartphone. One of the webcams is utilized to capture commands on the screen of the control panel, the other to recognize the words on the screen of the tested smartphone. The method of image processing is based on the Red-Green-Blue (RGB) and Hue-Saturation-Luminance (HSL) color spaces to reduce the influence of light. Fuzzy theory is used in the robot arm’s position control. The Optical Character Recognition (OCR) technique is applied to the word recognition, and the recognition results are then checked by a dictionary process to increase the recognition accuracy. The camera which is used to recognize the tested smartphone also provides object coordinates to the fuzzy controller, then the robot arm moves to the desired positions and presses the desired buttons. The proposed control scheme allows the robot arm to perform different assigned test functions successfully
Relation: 5(4)
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/40890
Appears in Collections:[通訊與導航工程學系] 期刊論文

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