Method for judging state of railway wagon coupler knuckle pin based on image recognition and deep learning
A railway wagon, deep learning technology, applied in the direction of neural learning methods, character and pattern recognition, instruments, etc., can solve the problems that failures cannot be found in time, detection results are inaccurate, etc., to reduce labor costs, improve detection efficiency, improve Effects on Robustness and Accuracy
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[0026] Specific implementation mode one: refer to figure 1 This embodiment is specifically described. The method for judging the state of the railway wagon knuckle pin based on image recognition and deep learning described in this embodiment includes the following steps:
[0027] 1. Dataset creation steps:
[0028] Collect coupler pictures of different types of railway wagon couplers at different times, places and environments from large network databases or actual application environments, and then stretch, rotate and mirror each of the collected pictures separately, using before and after transformation Build a sample library for all the pictures of the coupler, the coupler picture includes the coupler picture under the normal state and the coupler picture under the fault state. For example: collect a coupler picture, then copy three identical pictures, and then stretch, rotate and mirror the three copied pictures respectively to obtain the stretched picture, rotated pictur...
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