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Railway wagon bathtub damage fault image recognition method

An image recognition, railway freight car technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of low detection efficiency, fatigue and omissions of vehicle inspectors, and achieves improved recognition speed, reduced network depth and The number of convolution kernels and the effect of shortening prediction time

Active Publication Date: 2020-04-28
HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
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Problems solved by technology

[0003] The purpose of the present invention is to propose a bathtub for railway wagons in view of the problems in the prior art that manual inspection of images is used for fault detection, because inspection personnel are prone to fatigue and omissions during work, resulting in low detection efficiency Image Recognition Method for Damaged Faults

Method used

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  • Railway wagon bathtub damage fault image recognition method
  • Railway wagon bathtub damage fault image recognition method
  • Railway wagon bathtub damage fault image recognition method

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specific Embodiment approach 1

[0042] Specific implementation mode one: refer to figure 1 with figure 2 Specifically explaining this embodiment, a method for image recognition of a damaged bathtub of a railway freight car described in this embodiment includes the following steps:

[0043] Step 1: Obtain the linear image of the passing truck, locate the bathtub area from the image, and perform cropping;

[0044] Step 2: Use the trained deep learning model to segment the image corresponding to the bathtub;

[0045] Step 3: According to the segmentation results of the deep learning model, the image processing method is used to further obtain the information of the segmented parts, and the bathtub damage is judged according to the prior knowledge.

[0046] 1. Image preprocessing

[0047] (1) Image collection

[0048] By building high-definition equipment around the truck tracks, high-definition line scan images of passing trucks are obtained. As truck components may be affected by rain, mud stains, oil st...

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Abstract

The invention discloses a railway wagon bathtub damage fault image recognition method, and relates to the technical field of freight train detection. In oder to solve the problem that fault detectionis carried out in a manual image checking mode in the prior art, the vehicle inspection personnel are easy to fatigue and omit in the working process, the detection efficiency is low, in the method, bathtub fault automatic identification is carried out by adopting image processing and deep learning methods, only an alarm result needs to be confirmed manually, the labor cost can be effectively saved, the detection accuracy is improved, a deep learning algorithm is applied to bathtub damage fault automatic identification, and the stability and the precision of the whole algorithm are improved; because the background of the bathtub plate is the ever-changing floor image, whether the bathtub is contained in the image or not is detected by adopting the Faster Interest network, and then the fault of the sub-image containing the bathtub is detected by using the U-NET network, so that the influence of the image not containing the bathtub on the segmentation result is reduced.

Description

technical field [0001] The invention relates to the technical field of freight train detection, in particular to an image recognition method for a damaged bathtub of a railway freight train. Background technique [0002] The broken fault of the bathtub of the truck is a fault that endangers the driving safety. At present, manual inspection of images is mostly used for fault detection. As the inspectors are prone to fatigue and omissions during the work process, resulting in missed inspections and wrong inspections, affecting driving safety. The method of automatic image recognition can improve the detection efficiency and stability. In recent years, deep learning and artificial intelligence have continued to develop and mature in technology. Therefore, using deep learning to identify the damaged fault of the truck bathtub can effectively improve the detection accuracy. Contents of the invention [0003] The purpose of the present invention is to propose a bathtub for r...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/12G06T7/136
CPCG06T7/0004G06T7/11G06T7/12G06T7/136G06T2207/20081G06T2207/20084G06T2207/30164G06T2207/30204
Inventor 高恩颖
Owner HARBIN KEJIA GENERAL MECHANICAL & ELECTRICAL CO LTD
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