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

Recognition and sorting device for various types of waste beverage bottles based on deep learning

A deep learning and sorting device technology, applied in the field of automation, can solve the problems of heavy manual sorting workload, slow sorting speed, and low accuracy, and achieve the goal of improving reusability, fast sorting speed, and low cost Effect

Active Publication Date: 2021-07-09
JILIN AGRI SCI & TECH COLLEGE
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention is to solve the problems of heavy manual sorting workload, high error rate, slow sorting speed and low accuracy of existing sorting equipment, and now provides a multi-type waste beverage bottle identification and sorting device based on deep learning

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
  • Recognition and sorting device for various types of waste beverage bottles based on deep learning
  • Recognition and sorting device for various types of waste beverage bottles based on deep learning
  • Recognition and sorting device for various types of waste beverage bottles based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0036] Specific implementation mode one: refer to Figures 1 to 4 Specifically explain this embodiment, the multiple types of waste recyclable bottle identification and sorting device based on deep learning described in this embodiment includes an image recognition part and a sorting part, and the image recognition part includes: a plurality of industrial cameras 1 and a host computer 9. The sorting part includes: a plurality of outfeed conveyor belts 3 , an infeed conveyor belt 4 , a plurality of beating devices 5 and a control unit 8 .

[0037] The feeding conveyor belt 4 includes a plane part and a slope part connected to each other. The plane part is used to carry the recyclable bottles to be sorted and conveyed to the slope part. The slope part is provided with a plurality of beating bottles arranged in a rectangular array. Hole 2, a plurality of beating devices 5 are located below the slope of the slope part, and are respectively facing a plurality of beating holes 2 one...

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

A device for identifying and sorting various waste beverage bottles based on deep learning relates to the technical field of identification and sorting of waste plastic bottles. The invention aims to solve the problems of heavy manual sorting workload, high error rate, and slow sorting speed and low accuracy rate of existing sorting equipment. The device for identifying and sorting multiple types of waste beverage bottles based on deep learning of the present invention uses a deep learning method to segment the collected pictures, and further processes the divided pictures to obtain the center of mass of the object, and the pixel coordinates of the centroid After being sent to the sorting device, the waste beverages of different colors are classified. This device has the advantages of low cost, accurate sorting results, and fast sorting speed. It is suitable for the waste plastic bottle recycling industry.

Description

technical field [0001] The invention belongs to the technical field of automation, in particular to the identification and sorting technology of waste plastic bottles. Background technique [0002] At present, the consumption of beverage bottles in my country has reached 96,000 t / a. Most of the recycled waste beverage bottles are used in chemical fiber recycling, chemical fiber textiles, PET packing belts, beverage bottles, plastic films and other industries. The recycling of waste plastic bottles, Not only can reduce environmental pollution, but also can turn waste into wealth. But only a small part is used at present, and the rest is discarded at random, resulting in waste of resources and environmental pollution. [0003] In the process of traditional waste beverage bottle recycling, it is necessary to manually classify different types of bottles according to color before processing (to facilitate processing into plastic products of different colors). The problem of high...

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 Patents(China)
IPC IPC(8): B07C5/342B07C5/02B07C5/36G06K9/00G06N3/08
CPCB07C5/3422B07C5/02B07C5/361B07C5/362G06N3/08B07C2501/0054G06V20/20
Inventor 齐明洋唐友刘志东钟闻宇王永江高国丽舒洋李明树张震陈岩鞠明月
Owner JILIN AGRI SCI & TECH COLLEGE
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