Automatic detection method of optical fiber fusion quality

Abstract

Disclosed is an automatic detection method of optical fiber fusion quality. The automatic detection method includes obtaining an optical fiber fusion image in an optical fiber fusion process; segmenting the optical fiber fusion image into a fusion area image and a character display area image; recognizing segmented characters by utilizing a character recognition algorithm; subjecting the fusion area image to foreground and background separation so as to obtain a segmented optical fiber fusion area, taking the segmented optical fiber fusion area as a target area of the recognition of a fusion point; extracting an optical fiber fusion image around the fusion point to determine whether the fusion is successful; performing fusion fault mode recognition according to the optical fiber fusion image around the fusion point, and warning users if the fusion is not successful; judging whether the fusion meets technological requirements or not according to drawn character information if the fusion is successful; finishing the fusion process if the fusion meets the technological requirements and the optical fiber fusion is qualified; and warning the users if the fusion does not meet the technological requirements.

Description

technical field [0001] The invention relates to an automatic detection method for optical fiber welding quality. Background technique [0002] With the rapid development of fiber optic gyroscope technology in China, fiber optic gyroscopes have been used in many fields including aerospace products. Aerospace products have put forward high requirements for the reliability of fiber optic gyroscopes, and the reliability of fiber optic fusion points is directly related to It affects the reliability of fiber optic gyro, so the reliability of fiber optic fusion must be improved. At present, most of the optical fiber fusion splicing quality inspection methods of optical fiber fusion splicing machines are based on the optical fiber fusion splicing image and use artificial naked eyes to complete the judgment of parameters and images. Human eyes have subjective deviations in discrimination, and cannot meet the requirements of product production in terms of accuracy and efficiency. If ...

AI Technical Summary

Problems solved by technology

Due to the low resolution of the fusion image collected by the optical fiber fusion splicer, using traditional image recognition software and algorithms, the algorithm and software itself often have high requirements for image resolution, and the calculation time cost of the algorithm is high; it is difficult to meet the requirements of optical fiber fusion image recognition. need

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