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Garbage recognition and classification method based on deep learning

A deep learning, recognition and classification technology, applied in character and pattern recognition, instruments, data processing applications, etc., can solve the problems of low identification effect of harmful garbage, troublesome garbage classification, low classification efficiency, etc., to achieve easy identification, accurate classification, The effect of reducing the impact

Pending Publication Date: 2021-03-02
WUHAN JINXING TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to overcome the existing defects and provide a method for identifying and classifying garbage based on deep learning, so as to solve the problem that the harmful garbage proposed in the above background technology leads to more troublesome garbage classification, especially based on manual and The classification of equipment has a low identification effect on hazardous waste, resulting in low classification efficiency and relatively error-prone problems

Method used

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  • Garbage recognition and classification method based on deep learning
  • Garbage recognition and classification method based on deep learning
  • Garbage recognition and classification method based on deep learning

Examples

Experimental program
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Effect test

Embodiment 1

[0062] see Figure 1-7 , the present invention provides a technical solution: a method for identifying and classifying garbage based on deep learning, comprising the following steps;

[0063] Step 1: Carry out preliminary classification of garbage, firstly separate metal and non-metal garbage, and reduce the impact of non-metal garbage on further classification of metal garbage;

[0064] Step 2: Based on the data acquisition module, obtain the data of the garbage after the preliminary classification, and obtain the data for identification, such as appearance characteristics, radioactivity and magnetism, etc., through the data acquisition module;

[0065] Step 3: Analyze and detect the data acquired by the data acquisition module based on deep learning, and perform simulation analysis on the data acquired by the data acquisition module to achieve the effect of rapid identification;

[0066] Step 4: Carry out garbage classification based on the recognition results of deep learn...

Embodiment 2

[0070] see Figure 1-7 , the present invention provides a technical solution: a method for identifying and classifying garbage based on deep learning, comprising the following steps;

[0071] Step 1: Carry out preliminary classification of garbage, firstly separate metal and non-metal garbage, and reduce the impact of non-metal garbage on further classification of metal garbage;

[0072] Step 2: Based on the data acquisition module, obtain the data of the garbage after the preliminary classification, and obtain the data for identification, such as appearance characteristics, radioactivity and magnetism, etc., through the data acquisition module;

[0073] Step 3: Analyze and detect the data acquired by the data acquisition module based on deep learning, and perform simulation analysis on the data acquired by the data acquisition module to achieve the effect of rapid identification;

[0074] Step 4: Carry out garbage classification based on the recognition results of deep learn...

Embodiment 3

[0085] see Figure 1-7 , the present invention provides a technical solution: a method for identifying and classifying garbage based on deep learning, comprising the following steps;

[0086] Step 1: Carry out preliminary classification of garbage, firstly separate metal and non-metal garbage, and reduce the impact of non-metal garbage on further classification of metal garbage;

[0087] Step 2: Based on the data acquisition module, obtain the data of the garbage after the preliminary classification, and obtain the data for identification, such as appearance characteristics, radioactivity and magnetism, etc., through the data acquisition module;

[0088] Step 3: Analyze and detect the data acquired by the data acquisition module based on deep learning, and perform simulation analysis on the data acquired by the data acquisition module to achieve the effect of rapid identification;

[0089] Step 4: Carry out garbage classification based on the recognition results of deep learn...

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Abstract

The invention discloses a garbage recognition and classification method based on deep learning, and the method comprises the following steps: 1, carrying out the preliminary classification of garbage;2, respectively acquiring the preliminarily classified garbage data based on a data acquisition module. Through preliminary classification of garbage, metal and nonmetal in the garbage are separated,recognition is easier during classification and recognition, the influence of the nonmetal garbage on metal garbage classification is reduced, and then recyclable metal garbage classification is moreaccurate. Through data detection of the non-metal garbage, kitchen garbage and household garbage contained in the non-metal garbage can be conveniently recognized and separated, then only recyclablenon-metal garbage such as plastic, glass and paper is left, and when the recyclable non-metal garbage is classified, the influence of the kitchen garbage and the household garbage is reduced as well;and thus, the garbage can be identified and classified more accurately based on deep learning.

Description

technical field [0001] The invention belongs to the technical field of garbage classification, and in particular relates to a deep learning-based garbage identification and classification method. Background technique [0002] Garbage classification generally refers to the general term for a series of activities that classify and store, place and transport garbage according to certain regulations or standards, thereby transforming them into public resources. The purpose of classification is to increase the resource value and economic value of garbage, strive to make the best use of it, reduce the amount of garbage treatment and treatment equipment, reduce the cost of treatment, reduce the consumption of land resources, and have social, economic and ecological benefits; garbage In the classified storage stage, it belongs to the public’s private goods. After the garbage is classified and put in by the public, it becomes a regional quasi-public resource in the community or commu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06Q50/26
CPCG06Q50/26G06F18/241G06F18/214
Inventor 贺敬星邵婷
Owner WUHAN JINXING TECH CO LTD
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