Inspection of steel sheets based on CCD image sensors

Author

Mariño, P. ; Domínguez, M. ; Alonso, M.

Author_Institution

Electron. Technol. Dept., Vigo Univ., Spain

fYear

1999

fDate

1999

Firstpage

68

Lastpage

73

Abstract

We present a machine-vision system (MVS) which is capable to detect small protrusions or peaks over external car parts, for performance monitoring of steel sheet machining processes in automotive industry. Trials made in this research prove the feasibility of implemented MVS based on two-dimensional imaging through a frame grabber. Also, algorithms for peaks detection are developed by an object oriented programming tool called IMPULS VISION XXL SDK and performed using a Pentium II PC. The paper introduces the main fault for inspection over steel sheets devoted to external car parts. Relevant features for MVS are extracted from trials made in steel sheet machining shopfloor. Algorithms for peaks detection are also presented. Results and new guidelines of this work are explained

Keywords

CCD image sensors; automatic optical inspection; automobile industry; computer vision; feature extraction; object-oriented programming; 2D imaging; CCD image sensors; IMPULS VISION XXL SDK; automatic optical inspection; automobile industry; computer vision; feature extraction; frame grabber; machine-vision system; object oriented programming; peaks detection; steel sheets; Automotive engineering; Charge-coupled image sensors; Condition monitoring; Fault detection; Inspection; Machining; Metals industry; Object detection; Object oriented programming; Steel;

fLanguage

English

Publisher

ieee

Conference_Titel

Multisensor Fusion and Integration for Intelligent Systems, 1999. MFI '99. Proceedings. 1999 IEEE/SICE/RSJ International Conference on

Conference_Location

Taipei

Print_ISBN

0-7803-5801-5

Type

conf

DOI

10.1109/MFI.1999.815967

Filename

815967