Steel rail surface detection method and system based on machine vision
A machine vision and rail technology, applied in the field of image processing, can solve problems such as affecting the normal operation of trains
Active Publication Date: 2021-12-10
南京未来网络产业创新有限公司
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- Application Information
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[0009] The embodiment of the present application provides a machine vision-based rail surface detection method and system to at least solve the problem in the prior art that the rail surface detection will affect the normal operation of the train
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[0023] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.
[0024] It should be noted that the steps shown in the flowcharts of the accompanying drawings may be performed in a computer system, such as a set of computer-executable instructions, and that although a logical order is shown in the flowcharts, in some cases, The steps shown or described may be performed in an order different than here.
[0025] A kind of rail surface detection method based on machine vision is provided in this embodiment, figure 1 It is a flowchart of a machine vision-based rail surface detection method according to an embodiment of the present application, such as figure 1 As shown, the process includes the following steps:
[0026] Step S102, receiving the rail vide...
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The invention discloses a steel rail surface detection method and system based on machine vision. The method comprises the following steps of receiving a video of a steel rail shot by a high-speed camera; generating a key frame image for each key frame of the video, and setting the first label information for each key frame image; inputting each key frame image into a first machine learning model; inputting each steel rail image output by the first machine learning model into a second machine learning model; and acquiring the second label information output by the second machine learning model, and setting the state of the first label information of the key frame image corresponding to the steel rail image as detection problem under the condition that the second label information indicates that the steel rail image has the surface defect. According to the method and the device, the problem caused by the influence of steel rail surface detection on the normal operation of a train in the prior art is solved, so that the steel rail can be detected under the condition that the operation state of the train is not influenced.
Description
technical field [0001] The present application relates to the field of image processing, and in particular, relates to a machine vision-based rail surface detection method and system. Background technique [0002] During the operation of the train, there will be defects such as scars, cracks, surface abrasions, peeling and wrinkles on the surface of the rails, which may become hidden dangers that threaten the safety of railway transportation. [0003] At present, the probability of internal defects of rails has been greatly reduced, but the situation of rail fractures caused by defects on the surface of rails is becoming more and more common. Therefore, defect detection of railway tracks is an important means to ensure the safety of railway transportation. [0004] The detection of track surface defects has always relied on manual inspection, which is inefficient, and the inspection results are affected by factors such as the experience, responsibility, and weather conditio...
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Login to View More IPC IPC(8): G06T7/00G06T7/70G06K9/00G06K9/62G06N20/00G01N21/88
CPCG06T7/0002G06T7/70G06N20/00G01N21/8851G01N2021/8887G06T2207/10016G06T2207/30236G06F18/241G06F18/253
Inventor 田文科钱钧张经纬戚厚洋
Owner 南京未来网络产业创新有限公司