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

Garbage classification method, device and system based on image identification

A technology of garbage classification and image recognition, which is applied in image analysis, image data processing, character and pattern recognition, etc. It can solve problems such as difficulty in accurate classification of types of garbage, difficulty in accurately judging classification, lack of garbage classification, etc., to improve the living environment quality, waste disposal reduction, and workload reduction effects

Active Publication Date: 2017-08-25
GUANGDONG MATVIEW INTELLIGENT SCI & TECH CO LTD
View PDF7 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, there are some special types of garbage that are difficult for people to accurately determine their classification in daily life. For example, paper towels and toilet paper are listed as "other garbage" because they are too water-soluble and cannot be recycled. Similar items include pottery and cigarette cases; big sticks Bones are also included in "other garbage" because they are "hard to corrode"; while dead branches and leaves, including blooming flowers at home, etc. are included in "kitchen garbage"
At the same time, there are some wastes made up of various materials that have different classifications for each part. They need to be disassembled and discarded accordingly. How to accurately classify various types of waste has become a difficult problem
[0004] To sum up, at present, most people lack comprehensive knowledge of garbage classification, let alone accurately remember and judge the types of complex and diverse garbage, so that they can be accurately sorted and discarded, which puts a lot of pressure on the urban environment and garbage disposal.

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, device and system based on image identification
  • Garbage classification method, device and system based on image identification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] Below, in conjunction with accompanying drawing and specific embodiment, the present invention is described further:

[0038] Garbage classification methods based on image recognition, such as figure 1 shown, including the following steps:

[0039] Step 01. Obtaining garbage pictures to be identified;

[0040] Step 02. Preprocessing the garbage pictures to be identified to obtain the pictures to be segmented;

[0041] Specifically, the preprocessing includes the following sub-steps: decoding the garbage picture, denoising and removing interference points to obtain the picture to be divided.

[0042] Filter the junk image to remove noise with pixel heights of 1 and 2, so that subsequent processing can be performed better. The process of filtering and removing interference points is a prior art, and will not be repeated here.

[0043] Step 03, performing segmentation processing on the image to be segmented to obtain the segmented image;

[0044] The segmentation proc...

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 method, device and system based on image identification. The method includes the steps of S1, pre-processing a garbage picture to be identified to obtain a picture to be segmented; S21, segmenting the picture to be segmented to obtain a plurality of sub pictures; S22, acquiring feature information of each sub picture, judging whether the feature information belongs to a preset threshold range, if so, judging the corresponding sub picture as a segmented picture, and if not, performing S23; S23, further segmenting the segmented picture for each sub picture; S3, normalizing the size of each segmented picture into a preset size; and S4, acquiring feature vectors of the segmented pictures, and judging the category of the segmented pictures according to the feature vectors and standard templates in a standard template library. The invention is advantageous in that garbage identification can be quickly performed through the image identification technique, people are assisted in quick garbage classification in daily life, and the workload for secondary garbage sorting is reduced.

Description

technical field [0001] The invention relates to an auxiliary classification and identification technology of garbage, in particular to a garbage classification method, device and system based on image recognition. Background technique [0002] How to maximize the utilization of waste resources, reduce the amount of waste disposal, and improve the quality of the living environment through waste classification management is one of the urgent issues of common concern to all countries in the world. According to the unified standards formulated by the country, domestic waste is now broadly divided into four categories, namely recyclables, kitchen waste, hazardous waste and other waste. Recyclables refer to garbage suitable for recycling and resource utilization, mainly including waste paper, plastic, glass, metal and cloth, which are collected in blue garbage containers and recycled through comprehensive treatment. Food waste includes food waste such as leftovers, bones, vegetab...

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): G06K9/34G06T7/136
CPCG06V10/267
Inventor 邓立邦
Owner GUANGDONG MATVIEW INTELLIGENT SCI & TECH 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