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

Garbage classification method and device based on image recognition technology and electronic equipment

A technology of garbage classification and image recognition, applied in the field of image recognition, can solve the problem of low garbage classification efficiency, achieve the effect of accurate recognition and improve recognition efficiency

Active Publication Date: 2019-04-26
SHENZHEN INTELLIFUSION TECHNOLOGIES CO LTD
View PDF8 Cites 28 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The object of the present invention is to provide a garbage sorting method, device and electronic equipment based on image recognition technology in order to solve the problem of low garbage sorting efficiency in the above-mentioned prior art

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 method and device based on image recognition technology and electronic equipment
  • Garbage classification method and device based on image recognition technology and electronic equipment
  • Garbage classification method and device based on image recognition technology and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0095] As an optional implementation, the method also includes:

[0096] A protection period is preset for the identification process of the garbage to be sorted, and garbage identification requests for garbage other than the garbage to be sorted are not responded to during the protection period.

[0097] Wherein, the protection period may include the period between the start of collecting image information and the end of any two time periods of the first waiting time, the second waiting time, the third waiting time or the fourth waiting time, during this period , the system only responds to the garbage to be sorted that is being classified and identified, but does not respond to the classification and identification requests sent by other garbage added during this period, that is, there is a sequence. In this way, it can be ensured that the garbage to be sorted that is being sorted and identified can be successfully classified and identified, the identification efficiency can...

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 relates to the technical field of image recognition, and discloses a garbage classification method and device based on an image recognition technology and electronic equipment, which areused for recognizing thrown to-be-classified garbage in a garbage can, and the method comprises the following steps: judging whether the to-be-classified garbage exists in a garbage recognition areaor not in a standby state; If the to-be-classified garbage exists in the garbage recognition area, image information of the to-be-classified garbage in the garbage recognition area is collected through a camera; Performing matching recognition on the image information and a preset garbage classification model, and judging the proportion of the recognized garbage to the to-be-classified garbage; And if the proportion reaches a preset proportion threshold value, control information for opening the turnover cover is sent to the garbage can turnover cover control device. According to the method, the garbage types can be quickly and accurately recognized, and the recognition efficiency of garbage classification is improved.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a garbage classification method, device and electronic equipment based on image recognition technology. Background technique [0002] Garbage classification is a reform of the traditional way of garbage collection and disposal, and a scientific management method for effective disposal of garbage. Facing the ever-increasing garbage production and the deteriorating environmental conditions, how to maximize the utilization of garbage resources, reduce the amount of garbage disposal, and improve the quality of living environment through garbage classification management is one of the urgent issues of common concern to all countries in the world. . [0003] However, the existing various garbage classification methods are complicated, and people lack comprehensive knowledge of garbage classification. It is difficult to form good garbage classification habits in a short perio...

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): G06K9/00G06K9/62B65F1/10
CPCB65F1/10B65F2210/176B65F2210/138G06V20/20G06F18/22
Inventor 刘晓辉程冰邹博
Owner SHENZHEN INTELLIFUSION TECHNOLOGIES CO LTD
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