Abstract
Due to the fine pitch of today’s micro-chips, accurate alignment is vital to acquire high quality joints with less detrimental effects on other components. We developed an integrated soldering system which combines an X-Y stage, a computer vision and a laser head. Based on the analysis of experimental data, we find that lens distortions and assembly angular errors of the X-Y stage play a distinct role on the positioning errors. To improve the positioning accuracy of this system, we proposed an algorithm based on straight line method to reduce image distortions, and a compensation algorithm on the non-perpendicular X-Y positioning stage. Finally, experimental results and comparative data are presented to evaluate the performance of these algorithms.
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Xiong, Z., Zhou, X., Wang, Y., Ding, H. (2009). Automatic Soldering System Based on Computer Vision. In: Xie, M., Xiong, Y., Xiong, C., Liu, H., Hu, Z. (eds) Intelligent Robotics and Applications. ICIRA 2009. Lecture Notes in Computer Science(), vol 5928. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10817-4_87
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DOI: https://doi.org/10.1007/978-3-642-10817-4_87
Publisher Name: Springer, Berlin, Heidelberg
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