Abstract: Brightness profile data having a number of dimensions is extracted based on image data in a radial direction of an optical fiber, the brightness profile data representing features for each rotation angle of the optical fiber. Machine learning uses training data to create a prediction model that based on the brightness profile data determines a rotation angle of each pair of optical fibers is. The pair of optical fibers are rotated to the determined rotation angle and then fusion spliced. The training data indicates a correspondence relationship between the rotation angle of the optical fiber and brightness profile in the radial direction for each rotation angle of the optical fiber. The prediction model can determine a rotation angle of an arbitrary optical fiber based on brightness profile data of the arbitrary optical fiber.

Abstract: Brightness profile data having a number of dimensions is extracted based on image data in a radial direction of an optical fiber, the brightness profile data representing features for each rotation angle of the optical fiber. Machine learning uses training data to create a prediction model that based on the brightness profile data determines a rotation angle of each pair of optical fibers is. The pair of optical fibers are rotated to the determined rotation angle and then fusion spliced. The training data indicates a correspondence relationship between the rotation angle of the optical fiber and brightness profile in the radial direction for each rotation angle of the optical fiber. The prediction model can determine a rotation angle of an arbitrary optical fiber based on brightness profile data of the arbitrary optical fiber.

Abstract: Brightness profile data are extracted based on side view image data of an optical fiber, machine learning is performed by using teacher data indicating a correspondence relationship between brightness profile in a radial direction of the optical fiber and a type of the optical fiber, the teacher data being created based on the brightness profile data, a classification model is created to be able to determine the type of the optical fiber for an arbitrary optical fiber based on the brightness profile data indicating brightness profile in the radial direction of the arbitrary optical fiber, and the type of the optical fiber is determined for each of a pair of optical fibers by using the classification model based on the brightness profile data that is extracted based on side view image data of the pair of optical fibers as a target. The pair of optical fibers are fusion-spliced based on a fusion condition that is set in accordance with a combination of respective determined types of the optical fibers.