Material identification method, device and equipment and storage medium

A material recognition and material technology, applied in character and pattern recognition, biological neural network models, instruments, etc., can solve the problems of reducing the accuracy of material recognition, neural unit death, and low recognition accuracy

Inactive Publication Date: 2020-12-11
GUANGXI LIUGONG MASCH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, when traditional machine vision is used to identify materials, the identification process is often slow due to the need for multiple treatments on the materials during the identification process, and the same treatment will produce different processing results for different materials, ...

Method used

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  • Material identification method, device and equipment and storage medium
  • Material identification method, device and equipment and storage medium
  • Material identification method, device and equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] figure 1 It is a flow chart of a material identification method provided by Embodiment 1 of the present invention. This embodiment is applicable to the detection and identification of earthwork materials. This method can be executed by a material identification device, which can be implemented by software and / or implemented by hardware, the material identification device can be configured on a computing device, specifically including the following steps:

[0047] S101. Obtain an image of a material to be identified.

[0048] Wherein, the image of the material to be identified can be understood as an image of the target shoveled material obtained before the earthmoving machine shovels.

[0049] Specifically, based on the characteristics of the material to be identified and the requirements of the earthmoving machinery that needs to identify the image of the material to be identified, combined with the characteristics of the earthwork material, in order to make the imag...

Embodiment 2

[0063] figure 2 It is a flow chart of a material identification method provided by an embodiment of the present invention. The technical solution of this embodiment is further refined on the basis of the above-mentioned technical solution, specifically including the following steps:

[0064] S201. Obtain an image of a material to be identified.

[0065] S202. Preprocessing the image of the material to be recognized.

[0066] Specifically, the acquired image of the material to be identified is preprocessed in at least one of the following ways: binarization, grayscale conversion, noise suppression, image segmentation and edge extraction. Among them, image binarization is to set the gray value of the pixel on the image to 0 or 255, that is, the process of presenting an obvious black and white effect on the whole image; graying is to set the RGB value of each pixel on the image to Adjust to the R=B=G state process; noise suppression is the process of suppressing unnecessary o...

Embodiment 3

[0082] image 3 A schematic structural diagram of a material identification device provided in Embodiment 3 of the present invention, the material identification device includes: an image acquisition module 31, a local information acquisition module 32, a depth information acquisition module 33, an intermediate feature acquisition module 34 and a type identification module 35 .

[0083] Wherein, the image acquisition module 31 is used to obtain the image of the material to be identified; the local information acquisition module 32 is used to process the image of the material to be identified by using a set edge recognition algorithm to obtain local feature information; the depth information acquisition module 33 is used to obtain the image of the material to be identified. The image of the material to be identified is input to set the convolutional layer in the neural network to obtain the depth feature information; wherein, the neural network is set to include a convolutional...

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Abstract

The embodiment of the invention discloses a material identification method, device and equipment and a storage medium. The method comprises the steps: obtaining a to-be-identified material image; processing the to-be-recognized material image by adopting a set edge recognition algorithm to obtain local feature information; inputting the to-be-identified material image into a convolutional layer ina set neural network to obtain depth feature information, wherein the set neural network comprises a convolution layer and a full connection layer; performing weighted fusion on the local feature information and the depth feature information to obtain intermediate features; and inputting the intermediate features into a full connection layer of a set neural network to obtain the material type ofthe to-be-identified material. According to the technical scheme provided by the embodiment of the invention, the problem of identification failure caused by death and incapability of reactivating part of neurons in the neural network when only the set neural network is adopted for material identification is solved, the accuracy of material identification is improved, and meanwhile, the error-tolerant rate of the neural network when the set neural network is adopted for material identification is improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of construction machinery, and in particular to a material identification method, device, equipment and storage medium. Background technique [0002] With the continuous advancement of science and technology, people's pursuit of comfort, safety and efficiency in work and life has become more and more obvious, and intelligence and even artificial intelligence have become an important means to achieve this goal. Due to the harsh working environment during the earthwork, there are various problems such as high temperature, dust, humidity, and being far away from the living area, the demand for unmanned is becoming stronger and stronger. [0003] For the identification of the types of materials collected in earthmoving machinery, at present, the key characteristic information of materials is usually obtained through sound, light and other media for identification. Most of them use deep ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04
CPCG06V20/10G06V10/44G06N3/045G06F18/253
Inventor 杨思雨蔡登胜孙金泉
Owner GUANGXI LIUGONG MASCH CO LTD
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