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

Garbage classification box constructed based on convolutional neural network

A convolutional neural network and classification box technology, applied in the field of garbage classification, can solve the problems of fuzzy concept of whether garbage can be recycled, small coverage, single function, etc., to solve front-end classification problems, improve secondary utilization, and speed up The effect of sorting efficiency

Pending Publication Date: 2020-12-01
XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
View PDF0 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Garbage cans, also known as waste bins, are places where garbage is placed; in order to realize the preliminary classification of domestic waste, sortable trash cans have been launched on the market at present, but most of the existing trash cans have single functions, and it is necessary to manually separate the garbage. Put it into the corresponding sorting port, and it is a garbage bin with a cover. When opening the cover, it needs to be realized by manual or foot stepping. The main disadvantage of this method is that it is neither hygienic nor convenient; It will also cause confusion in the placement of garbage; with the advancement of science and technology, smart garbage bins have emerged on the market, but the development level is not high, mainly based on automatic induction flips, which cannot actively sort garbage, and the cost is high and the coverage is small; At present, garbage transportation, big data feedback and back-end disposal facilities in the market have begun to take shape; therefore, the existing technology needs a garbage can that can sort garbage by itself and its use method

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 box constructed based on convolutional neural network
  • Garbage classification box constructed based on convolutional neural network
  • Garbage classification box constructed based on convolutional neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them; based on The embodiments of the present invention and all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0027] see Figure 1-9 , in an embodiment of the present invention, a garbage sorting box based on a convolutional neural network, including: a support frame 1, a front enclosure 2, a cabinet door 3, a trash can 4, a delivery port 5, a parking pipe 6, an electric control Cabinet 7, swivel seat 8, first steering gear 9, parking baffle 10, distribution bracket 11, second steering gear 12, distribution pipe 13, distribution shaft 14, parking shaft ...

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 box constructed based on a convolutional neural network. The garbage classification box comprises a supporting frame, a front sealing shell, a cabinetdoor, garbage cans, a throwing opening, a parking pipeline and other parts. The parking pipeline of a cylindrical structure is arranged on the lower surface of an upper flat plate structure of the supporting frame, a distributing support is fixed to the supporting frame through bolts and located below the parking pipeline, a second steering engine is fixed to the supporting frame, an output shaftof the second steering engine is connected with a distributing shaft, and the other end of the distributing shaft is embedded into the distributing support through a bearing. The four garbage cans areplaced above a lower flat plate structure of the supporting frame, and two rotating seats are arranged beside the parking pipeline; a parking baffle is connected between the two rotating seats through a parking shaft, the upper end of the parking shaft is connected to the output end of a first steering engine through a coupler, and the first steering engine is fixed to the supporting frame. The garbage classification box has the beneficial effects that manpower can be saved, the garbage sorting efficiency is improved, and the economic value is considerable.

Description

technical field [0001] The invention relates to the field of garbage classification, in particular to a garbage classification box constructed based on a convolutional neural network. Background technique [0002] Garbage cans, also known as waste bins, are places where garbage is placed; in order to realize the preliminary classification of domestic waste, sortable trash cans have been launched on the market at present, but most of the existing trash cans have single functions, and it is necessary to manually separate the garbage. Put it into the corresponding sorting port, and it is a garbage bin with a cover. When opening the cover, it needs to be realized by manual or foot stepping. The main disadvantage of this method is that it is neither hygienic nor convenient; It will also cause confusion in the placement of garbage; with the advancement of science and technology, smart garbage bins have emerged on the market, but the development level is not high, mainly based on 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
Patent Type & Authority Applications(China)
IPC IPC(8): B65F1/00B65F1/14G06N3/04G06N3/08
CPCB65F1/006B65F1/1426G06N3/08B65F2210/138B65F2210/182B65F2001/008G06N3/045Y02W30/10
Inventor 晁琪洛巨昕玥杨小燕昝慧新李岱霖张皓淞刘杏妮任航婧
Owner XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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