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Kitchen garbage impurity identification method based on target detection technology

A kitchen waste and target detection technology, applied in the field of computer vision, can solve the problems of high labor and material resources, low classification efficiency, etc., and achieve the effect of reducing manual operation.

Pending Publication Date: 2021-12-17
BEIJING UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The traditional sorting of impurities in garbage relies on manual classification, which requires a lot of manpower and material resources, and the classification efficiency is low

Method used

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  • Kitchen garbage impurity identification method based on target detection technology
  • Kitchen garbage impurity identification method based on target detection technology
  • Kitchen garbage impurity identification method based on target detection technology

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Embodiment Construction

[0030] The present invention will be further described below in conjunction with the accompanying drawings.

[0031] Such as figure 1 As shown, a method for identifying impurities in kitchen waste based on target detection technology includes the following steps:

[0032] S1. Establish a kitchen waste image library containing K types of impurities, collect N pieces of kitchen waste images, and ensure that the instances of each type of impurity have a certain scale;

[0033] S2. Divide the kitchen waste images into a training set and a test set in proportion, and perform preprocessing respectively;

[0034] S3. Build a target detection model based on a convolutional neural network;

[0035] S4. Use the kitchen waste image training set to train the target detection model based on the convolutional neural network;

[0036] S5. Input the target image into the pre-trained target detection model, and finally output the position and category of impurities in the target image.

[...

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Abstract

The invention discloses a kitchen garbage impurity identification method based on a target detection technology, belongs to the field of computer vision, wherein aims at kitchen garbage image data, modeling is carried out based on a convolutional neural network, effective features are extracted by using the convolutional neural network, and impurity classification and positioning are carried out by using a classification layer and a regression calculation layer. The method mainly comprises the steps that establishing a kitchen garbage image library and pre-processing, and expanding the data scale in a data enhancement mode; constructing a target detection model based on a convolutional neural network; training the target detection model by using the kitchen garbage image library; and inputting the target image into the trained target detection model for judgment, and finally outputting the position and category of the impurity in the target image, thereby realizing automatic identification of the impurity in the kitchen garbage.

Description

technical field [0001] The invention belongs to the field of computer vision, and in particular relates to a method for identifying kitchen waste impurities based on target detection technology. Background technique [0002] With the improvement of people's living standards, the speed of garbage generation is also getting faster and faster. The classification and management of garbage can maximize the recycling and utilization of garbage resources. Kitchen waste is a common type of waste in daily life. After treatment, it can be used as fertilizer, feed, etc. to realize resource recycling. When delivering kitchen waste in daily life, it is easy to mix other types of impurities, such as plastic bottles, glass bottles, cans, cartons, etc. The resource value and economic value of kitchen waste can be improved by sorting and recycling kitchen waste impurities. [0003] The traditional sorting of impurities in garbage relies on manual classification, which requires a lot of man...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/32G06K9/46G06N3/04G06N3/08G06T5/00G06T7/11
CPCG06T7/11G06N3/08G06T2207/20132G06N3/048G06N3/045G06T5/70
Inventor 杜永萍刘杨彭治牛晋宇韩红桂
Owner BEIJING UNIV OF TECH
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