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Method and device for automatic garbage classification and storage medium

A technology of garbage classification and storage medium, which is applied in the directions of trash cans, garbage collection, waste collection and transfer, etc. It can solve problems such as the inability to meet the needs of garbage classification, and achieve the goal of simple and fast classification and recycling, accuracy and efficiency, and simplification of learning goals. and difficulty effects

Inactive Publication Date: 2020-01-07
WUYI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0002] With the progress of society and the improvement of living standards, the output of garbage is increasing. At the same time, people's awareness of environmental protection and garbage classification has gradually increased, and many places in China have also introduced relevant policies for garbage classification. Therefore, garbage classification is imperative, but traditional household cleaning machines can no longer meet the needs of garbage classification

Method used

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  • Method and device for automatic garbage classification and storage medium
  • Method and device for automatic garbage classification and storage medium
  • Method and device for automatic garbage classification and storage medium

Examples

Experimental program
Comparison scheme
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Embodiment 1

[0027] refer to figure 1 , Embodiment 1 of the present invention provides a method for automatically classifying garbage, one of which includes but is not limited to the following steps:

[0028] Step S100, collecting image information of garbage.

[0029] In this embodiment, in this step, information is first collected from surrounding images, and image information of surrounding garbage is collected to prepare for subsequent garbage sorting and recycling.

[0030] Step S200, identifying and classifying the collected image information based on the residual neural network algorithm.

[0031] In this embodiment, this step uses the residual neural network algorithm to identify and classify the received image information; wherein, the biggest difference between the residual neural network algorithm and the ordinary direct-connected convolutional neural network is that the residual neural network There are many bypass branches that directly connect the input to the subsequent la...

Embodiment 2

[0055] refer to Figure 5 , Embodiment 2 of the present invention provides an automatic garbage sorting device 1000, including: an image collection unit 1100 for collecting image information of garbage;

[0056] An information processing unit 1200, configured to identify and classify the collected image information based on a residual neural network algorithm;

[0057] The execution unit 1300 is configured to sort and recycle garbage according to the identification and classification information.

[0058] It should be noted that since the device for automatically sorting garbage in this embodiment is based on the same inventive concept as the method for automatically sorting garbage in the first embodiment above, the corresponding content in the first embodiment of the method is also applicable to this device Examples are not described in detail here.

[0059] It can be seen from the above scheme that the image collection unit 1100 collects image information of garbage, the ...

Embodiment 3

[0061] Embodiment 3 of the present invention also provides a storage medium for automatically sorting garbage. The storage medium for automatically sorting garbage stores executable instructions for the cleaning machine. The executable instructions for the cleaning machine are executed by one or more control processors. Make the above-mentioned one or more control processors execute the method for automatically sorting garbage in the above-mentioned method embodiment one, for example, execute the above-described figure 1 In the method step S100 to S300, realize Figure 5 functions in units 1100-1300.

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Abstract

The invention discloses a method and device for automatic garbage classification and a storage medium.The methodfor automatic garbage classification includes the steps thatthe garbage image information is collected; the collected image information is recognized and classified based on a residual neural network algorithm; and garbage is classified and recycled according to the recognition and classification information so thatthe garbage can be quickly and easily classified and recycled, and great convenience is brought for people to classify and recyclethe garbage.

Description

technical field [0001] The invention relates to the field of garbage cleaning, in particular to a method, device and storage medium for automatically sorting garbage. Background technique [0002] With the progress of society and the improvement of living standards, the output of garbage is increasing. At the same time, people's awareness of environmental protection and garbage classification has gradually increased, and many places in China have also introduced relevant policies for garbage classification. Therefore, garbage classification is imperative, but traditional household cleaning machines can no longer meet the needs of garbage classification. Contents of the invention [0003] The present invention aims to solve at least one of the technical problems existing in the prior art. Therefore, the present invention proposes a method for automatically sorting garbage, which can quickly and easily sort and recycle garbage, and brings great convenience to people for sor...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B65F1/00B65F1/14
CPCB65F1/0033B65F1/14B65F1/141B65F2001/008B65F2210/138B65F2210/176Y02W30/10
Inventor 曾军英朱京明王璠秦传波朱伯远翟懿奎甘俊英
Owner WUYI UNIV
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