Zuo Jing

TL;DR: In this paper, a machine vision detection device and method for steel rail surface discrete defects are presented. And the method includes the following steps that S1, the original image and the background image are differentiated; S2, a background smoothing filter is designed; S3, the source image is smoothened to obtain a background image; S4, the target image and target image are separated; S5, dynamic threshold value segmentation and connected region marking are conducted.

TL;DR: In this article, a method and system for measuring the relative pose of a target surface based on feature points is proposed, which includes (1) designing five black circular target surface feature points, setting 4 feature points at 4 top angles of the target surface and setting 1 feature point at the center of the surface; (2) calculating position and attitude information before and after settling of a measured target based on self-calibration of the feature points; (3) feature point recognition and centroid positioning.

TL;DR: In this article, the utility model discloses a remote railway site operations safety protection system based on radar, which includes radar modules, microprocessor, the wireless module 1 who connects gradually and connects respectively and is in last liquid crystal display 1, rotary switch, voltage reducing module of microprocessor 1, voltage reduction module with be provided with power 1 between the radar modules.

TL;DR: In this article, a method for rapidly extracting a steel rail surface area under the condition of vibration was proposed, which is more applicable to automatic high-speed rail surface defect segmentation.