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Method for assessing garbage classification based on image identification and two dimensional identification technology

Pending Publication Date: 2016-07-20
耿春茂
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Problems solved by technology

For the recycling and reuse of garbage resources, the most important link is to separate and classify the garbage, and then use the separated garbage according to its characteristics. The existing garbage classification is simply dependent on manual labor, and the efficiency of manual work is low. Error-prone and unable to meet the high requirements of urban waste recycling

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  • Method for assessing garbage classification based on image identification and two dimensional identification technology

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Embodiment Construction

[0015] like figure 1 As shown, it is the garbage classification evaluation method based on image recognition and two-dimensional code recognition technology of the present invention, which includes the following steps:

[0016] (A) Perform large-sample garbage classification image recognition training on the convolutional neural network algorithm;

[0017] (B) Use the QR code to identify and scan the attribution of the garbage; Step B includes: affixing or printing the QR code on the garbage bag, and then scanning the QR code to confirm the household that the garbage belongs to.

[0018] (C) Collect images of garbage to be identified; this step C includes: (C1) Open the garbage bag mechanically; (C2) Take pictures of the garbage inside the garbage bag and preprocess the image; (C3) Input the preprocessed image into the algorithm Spam photos.

[0019] (D) Use the convolutional neural network algorithm trained by the large sample data of garbage classification in step A to ide...

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Abstract

The invention discloses a method for assessing garbage classification based on image identification and two dimensional identification technology. The method includes the following steps: (A) conducting large sample garbage classification image identifying training on a convolutional neural network algorithm; (B) using the two dimensional code to identify and scan ownership of the garbage; (3) acquiring a garbage image to be identified; (D) using the convolutional neural network algorithm that has been trained by the garbage classification big sample data in step A to identify the garbage image: (E) outputting a classification result of different garbage images. According to the invention, the method determines the residents who own the garbage based on the two dimensional code technology, and identifies garbage images by adopting the convolutional neural network algorithm, which substantially increases efficiency of garbage processing and brings clean and comfortable living environment.

Description

technical field [0001] The invention relates to garbage processing technology, in particular to a garbage classification evaluation method based on image recognition and two-dimensional code recognition technology. Background technique [0002] The utilization of urban waste resources can provide huge economic benefits for the national economy, and thus bring social benefits of clean and comfortable living environment. For the recycling and reuse of garbage resources, the most important link is to separate and classify the garbage, and then use the separated garbage according to its characteristics. The existing garbage classification is simply dependent on manual labor, and the efficiency of manual work is low. It is easy to make mistakes and cannot meet the high requirements of urban waste recycling. Contents of the invention [0003] In order to solve the above-mentioned technical problems, the object of the present invention is to provide a garbage classification eval...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/02G06Q50/26
CPCG06N3/02G06Q50/26G06F18/214
Inventor 耿春茂刘沛刘婷
Owner 耿春茂
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