Convolutional neural network-based tire outer wall intact degree identification method

A convolutional neural network and recognition method technology, applied in the field of tire outer wall integrity recognition, can solve the problems of not covering the tire outer wall, easy to miss, easy to make mistakes, etc., to improve test efficiency, reduce traffic accidents, and prevent tire blowouts effect of accident

CN114372512APending Publication Date: 2022-04-19KJC ENG INC
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2022-04-19

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Abstract

The invention discloses a tire outer wall intact degree identification method based on a convolutional neural network. The method comprises the following steps: firstly, obtaining and carrying out image preprocessing on a tire outer wall image of which the damage is classified; then, an asymmetric convolution structure is constructed directly based on a DenseNet neural network model; constructing a feature fusion module to fuse target features of different levels, and inputting and fusing the tire outer wall image into a DenseNet neural network model; training, verifying and testing the DenseNet neural network model by the tire outer wall image in the DenseNet neural network model through a training strategy of 10-fold cross check; and finally, optimizing a cross entropy cost function by using an Adam algorithm, and optimizing the DenseNet neural network model. Testing is completed in the driving process, the testing efficiency is improved, the integrity of the outer wall of the tire can be quantified and judged, and the outer wall of the tire is recognized through an algorithm to screen out manual errors.
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Description

technical field

[0001] The present invention relates to the technical field of application of convolutional neural network, in particular to a method for identifying the integrity of tire outer wall based on convolutional neural network. Background technique

[0002] At present, the detection of the integrity of the outer wall of the tire has not been covered in this field, and there is no quantifiable detection equipment for the integrity of the outer wall of the tire. It has always relied on manual visual inspection and manual judgment, and manual detection, The need is that the vehicle stays still on the parking space, and there are a series of practical problems such as low efficiency, easy omission and error.

[0003] With the industrialization of society, the manufacture of special testing equipment to prevent tire damage is a defect that needs to be faced squarely. Contents of the invention

[0004] Aiming at the above-mentioned technical problems in the related ar...

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Embodiment Construction

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art belong to the scope of protection of the present invention. In order to facilitate the understanding of the above-mentioned technical solutions of the present invention, the above-mentioned technologies of the present invention will be described below through specific usage methods The plan is described in detail.

[0023] Such as figure 1 As shown, according to the method for identifying the integrity of the outer wall of a tire based on a convolutional neural network according to an embodiment of the present invention, the steps include: first, obta...