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

fYear

2011

fDate

5-7 Aug. 2011

Firstpage

1395

Lastpage

1398

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICDMA.2011.343

Filename

6052087