Title :
Inspection of steel sheets based on CCD image sensors
Author :
Mariño, P. ; Domínguez, M. ; Alonso, M.
Author_Institution :
Electron. Technol. Dept., Vigo Univ., Spain
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;
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
DOI :
10.1109/MFI.1999.815967
