Zhang Jianzhong
School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, 200072, China
He Yongyi
School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, 200072, China
Li Jun
School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, 200072, China
ABSTRACT
This study studies the problem of the suckers positioning in the mobile phone lenss assembly system. To solve this problem sufficiently will make a contribution to improving product quality, production efficiency and avoid a lot of manual operations. This study presents a vision-guided method of the suckers positioning and provides a quality prediction method for the suckers positioning based on a back propagation artificial neural network. The traditional mobile phone lenss assembly equipment assembled the lens without the suckers positioning signal feedback, or used some simple sensors to detect the suckers positioning signal mechanically; These old methods are always lack of intelligence, flexibility, robustness. The suckers positioning experiments are conducted with a vision-based mobile-phone lenss assembly experimental setup and a back propagation artificial neural network is applied to predict the suckers positioning quality in the assembly system. The results show that the vision-based suckers positioning system is feasible and effective.
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How to cite this article
Zhang Jianzhong, He Yongyi and Li Jun, 2013. Experimental Research on the Suckers Positioning in the Lenss
Assembly System. Journal of Applied Sciences, 13: 2837-2842.
DOI: 10.3923/jas.2013.2837.2842
URL: https://scialert.net/abstract/?doi=jas.2013.2837.2842
DOI: 10.3923/jas.2013.2837.2842
URL: https://scialert.net/abstract/?doi=jas.2013.2837.2842
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