Garbage classification system and method based on garbage recognition

A garbage classification and garbage technology, which is applied in the fields of instruments, still image data indexing, computing, etc., can solve the problems such as the inability to answer the search, the high cost of system establishment, and the lack of generalization ability of the system.

Pending Publication Date: 2021-07-06
四川九通智路科技有限公司
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Combined with the rapid development of Internet technology and smart phones, a system for querying and helping garbage sorting through smart phones has been born. The traditional garbage sorting system uses users to log in to the client, enter the name of the garbage to be queried into the text box for query, and the system By comparing the text of the user's input content with the back-end garbage classification database to determine the garbage category, it has the advantage of being simple and easy to implement, but the disadvantages are also very obvious
Text input limits the query speed and convenience. By comparing the text of the garbage classification database, the system does not have the generalization ability, and the update of the classification database is completely dependent on manual work, so it cannot give answers to searches beyond the sco

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 system and method based on garbage recognition
  • Garbage classification system and method based on garbage recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0038] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0039] Such as Figure 1 to Figure 2 As shown, a garbage classification system and method based on garbage identification in the present invention includes a mobile client and a background identification terminal.

[0040] As a more specific solution, the mobile client is deployed on the mobile terminal in the form of a WeChat applet and / or mobile phone APP, and the mobile client includes calling the camera to collect image data, uploading image data to the background recognition terminal, The background recognition terminal accepts data and displays the data through the mobile terminal.

[0041] Further, the background identification terminal is deployed on the background server and establishes a communication connection with the mobile terminal through the network interface of the background server. The background identification terminal includes a d...

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 provides a garbage classification system and method based on garbage recognition, and relates to the field of garbage classification treatment. According to the garbage classification system based on garbage recognition, through the combination of a data crawler, an image recognizer and a semantic recognizer, pictures related to recoverable garbage, harmful garbage, kitchen garbage and other garbage on the Internet are crawled down, the pictures are labeled through the image recognizer, real object nouns are reserved in a garbage classification label library through a semantic recognizer, the garbage classification label library is established, and labels of images uploaded by a user are retrieved in the garbage classification label library, so that garbage is recognized and classified, training images do not need to be labeled manually, manual guidance in material screening is avoided, and blind areas can be identified; and meanwhile, through a word meaning similarity comparison function of the semantic recognizer, labels with different words but the same word meaning can be matched, so that the generalization ability of the system is greatly improved.

Description

technical field [0001] The invention relates to the field of garbage classification and processing, in particular to a garbage classification system and method based on garbage identification. Background technique [0002] Since people have long-term lack of experience in garbage classification and lack of common-sense understanding of garbage disposal and classification, in order to help people change the status quo and adapt to the habit of garbage classification as soon as possible, we not only need to promote garbage classification in legal terms, but also should Help people establish a correct concept of garbage classification, and help people distinguish the categories of daily garbage. [0003] Combined with the rapid development of Internet technology and smart phones, a system for querying and helping garbage sorting through smart phones has been born. The traditional garbage sorting system uses users to log in to the client, enter the name of the garbage to be quer...

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
IPC IPC(8): G06F16/58G06F16/583G06F16/51G06F16/951G06F16/9535
CPCG06F16/5866G06F16/583G06F16/51G06F16/951G06F16/9535
Inventor 李蕊江罗明龚绍杰叶琳陈静
Owner 四川九通智路科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products