Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Garbage classification and recognition method based on artificial intelligence

A technology of garbage classification and artificial intelligence, which is applied in the field of image processing, can solve the problems of ordinary residents who are difficult to distinguish garbage categories, and achieve the effect of saving time and cost and improving efficiency

Inactive Publication Date: 2019-12-20
INSPUR ARTIFICIAL INTELLIGENCE RES INST CO LTD SHANDONG CHINA
View PDF4 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As the requirements for garbage recycling and classification become more and more stringent, it is necessary to accurately classify daily garbage. However, due to the variety of daily garbage, it is difficult for ordinary residents to accurately distinguish the categories of garbage.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Garbage classification and recognition method based on artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] The present invention provides a kind of artificial intelligence-based garbage classification identification method, the steps are as follows:

[0032] S1 establishes a data set: collect garbage photos, and classify the garbage photos to form a data set;

[0033] S2 preprocesses the garbage pictures in the data set;

[0034] S3 is a garbage classification model composed of a convolutional deep neural network: the first layer consists of two convolutional layers and one pooling layer, the second layer consists of two convolutional layers and one pooling layer, and the third layer consists of It consists of four convolutional layers and one pooling layer, the fourth layer consists of four convolutional layers and one pooling layer, and the fifth layer consists of four fully connected layers;

[0035] S4 uses the data set after preprocessing in step S2 to train the garbage classification model in step S3;

[0036] S5 preprocesses the garbage photos to be classified and i...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a garbage classification and recognition method based on artificial intelligence, and relates to the technical field of image processing. The method comprises: establishing a data set, and preprocessing junk pictures in the data set; forming a garbage classification model by a convolutional deep neural network, and training the garbage classification model by using the dataset preprocessed in the step; preprocessing junk photos to be classified, inputting the preprocessed junk photos into the trained junk classification model, and outputting a classification result. According to the method, the garbage image set is trained through the established deep neural network to complete establishment of the garbage recognition model, the thrown garbage is accurately recognized through the established garbage recognition model, the garbage classification efficiency of a user can be improved, and time and cost are saved.

Description

technical field [0001] The invention discloses an artificial intelligence-based garbage classification and recognition method, which relates to the technical field of image processing. Background technique [0002] Garbage classification refers to the general term for a series of activities in which garbage is classified and stored, classified and transported according to certain regulations or standards, and then transformed into public resources. The purpose of classification is to increase the resource value and economic value of waste, and strive to make the best use of it. As the requirements for garbage recycling and classification become more and more stringent, it is necessary to accurately classify daily garbage. However, due to the variety of daily garbage, it is difficult for ordinary residents to accurately distinguish the categories of garbage. [0003] The invention discloses a garbage classification and recognition method based on artificial intelligence, whi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/24
Inventor 戴鸿君于治楼
Owner INSPUR ARTIFICIAL INTELLIGENCE RES INST CO LTD SHANDONG CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com