Title :
Visual-Based Manufacturing Platform Level Detection Method
Author :
Hsia, Kuo-Hsien ; Lien, Shao-Fan ; Su, Juhng-Perng
Author_Institution :
Dept. of Manage. Inf. Syst., Far East Univ., Tainan, Taiwan
Abstract :
This paper proposes a visual-based method for detecting the tilt angles of a platform using a single image. A particular circular reference object is used to provide information of the tilt angles via projective geometry. The image features of the reference object extracted by the basic rectangle and corner detection algorithm are used for ANFIS to estimate the tilt angles. The method is verified by simulation that it can detect the tilt angles very closely. Moreover, the method offers a very easy and low-cost approach for manufacturing applications.
Keywords :
angular measurement; computer aided manufacturing; edge detection; feature extraction; image processing; ANFIS; circular reference object; corner detection algorithm; image feature extraction; projective geometry; tilt angle detection; tilt angle estimation; visual-based manufacturing platform level detection method; Cameras; Databases; Feature extraction; Geometry; Image edge detection; Manufacturing; ANFIS; image process; platform tilt detection;
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2011 Second International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-1-4577-0755-1
Electronic_ISBN :
978-0-7695-4455-7
DOI :
10.1109/ICDMA.2011.343
