Waste classification robot based on image recognition technology

A technology of garbage classification and image recognition, applied in character and pattern recognition, instruments, sorting, etc., can solve the problems of inability to meet the high requirements of urban waste recycling, error-prone, low manual operation efficiency, etc., to reduce network Training parameters, improving efficiency, reducing the effect of complex feature extraction and data reconstruction

Inactive Publication Date: 2016-07-20
耿春茂
View PDF11 Cites 57 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For the recycling and reuse of garbage resources, the most important link is to separate and classify the garbage, and then use the separated garbage according to its characteristics. The

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
  • Waste classification robot based on image recognition technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0014] Such as figure 1 Shown is a garbage sorting robot based on image recognition technology of the present invention, including a single-chip microcomputer 10, a manipulator 20, and a camera 30. The manipulator 20 is controlled by the single-chip microcomputer 10. The camera 30 is used to take images of garbage and preprocess them. After inputting the single-chip microcomputer 10 to calculate the classification, the single-chip microcomputer 10 uses the convolutional neural network algorithm to identify garbage images and outputs classification instructions to the manipulator 20. The manipulator 20 grabs different types of garbage according to the classification instructions and places them in designated locations to realize garbage classification.

[0015] Wherein, the manipulator 20 includes an actuator and a drive mechanism, the drive mechanism receives the instruction from the single chip microcomputer 10 and drives the action of the actuator according to the instruction...

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 waste classification robot based on an image recognition technology. The waste classification robot based on the image recognition technology comprises a single-chip microcomputer, a manipulator and a camera, wherein actions of the manipulator are controlled by the single-chip microcomputer; the camera is used for shooting images of waste and inputting the images into the single-chip microcomputer for classification calculation after preprocessing the images; the single-chip microcomputer recognizes the images of waste through a convolutional neural network algorithm, and outputs a classification instruction to the manipulator; and the manipulator grabs different kinds of waste according to the classification instruction and places the waste to specific positions so that waste classification can be achieved. Automatic waste classification is conducted by combination with the manipulator, so that the waste processing efficiency is greatly improved, and the social benefit of a clean and comfortable living environment is brought.

Description

technical field [0001] The invention relates to garbage processing technology, in particular to a garbage sorting robot based on image recognition technology. Background technique [0002] The utilization of urban waste resources can provide huge economic benefits for the national economy, and thus bring social benefits of clean and comfortable living environment. For the recycling and reuse of garbage resources, the most important link is to separate and classify the garbage, and then use the separated garbage according to its characteristics. The existing garbage classification is simply dependent on manual labor, and the efficiency of manual work is low. It is easy to make mistakes and cannot meet the high requirements of urban waste recycling. Contents of the invention [0003] In order to solve the above technical problems, the object of the present invention is to provide a garbage sorting robot based on image recognition technology. [0004] The technical scheme a...

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): B07C5/34B07C5/36G06K9/62
CPCB07C5/34B07C5/362B07C2501/0054G06F18/214
Inventor 耿春茂刘沛刘婷
Owner 耿春茂
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap