Abstract
A high-precision automatic state monitoring and abnormity alarm technique is proposed to solve the
process improvement issues of fiber-optic coil winding and splicing. Industrial cameras are used to capture
optical and hot images during the assembly of optical components of a fiber-optic gyroscope. A line and
contour analysis technique is used to detect abnormal winding. By analyzing the intensity distribution of
transmitted light, the graph cut model and multivariate Gaussian mixture model are used to detect and segment
the splicing defects. The practical applications indicate the correctness and accuracy of our vision-based
technique.
© 2013 Chinese Optics Letters
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