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Household waste sorting method based on machine vision

A kind of domestic waste and machine vision technology, applied in chemical instruments and methods, sorting, magnetic separation, etc., can solve the problems of time-consuming and labor-intensive, harsh working environment of workers, etc., and achieve the effect of saving labor and high efficiency

Active Publication Date: 2018-12-11
DALIAN UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In the prior art, manual sorting is usually used to sort garbage, but manual sorting is time-consuming and labor-intensive, and the working environment for workers is very harsh

Method used

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  • Household waste sorting method based on machine vision
  • Household waste sorting method based on machine vision
  • Household waste sorting method based on machine vision

Examples

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Effect test

Embodiment 1

[0037] This embodiment provides a machine vision-based domestic garbage sorting method, which specifically includes: performing constant-volume processing on the garbage waiting to be sorted, which can process 3 cubic meters of garbage each time; the feeding speed is 0.5m / s; The accumulation thickness shall not exceed 50cm, and the accumulation width shall not exceed 100cm. The magnetic metal garbage sorting device sorts the magnetic metal garbage from the garbage; the maximum adsorption force reaches 10kg. Then use two Sony high-definition CCD lenses to continuously take pictures of the garbage moving at a constant speed, send the ingested garbage images into the database, and compare and identify them with the inherent images in the database, so as to judge whether it is non-fruit and vegetable garbage. The image of the garbage uses the image contour comparison algorithm to obtain the contour image of the target garbage. For each target garbage contour image, calculate the w...

Embodiment 2

[0064] This embodiment provides a garbage sorting system implementing the above method, the system includes a garbage constant volume funnel, a magnetic metal garbage sorting device, a high-definition CCD lens, a mechanical arm sorting device, a transmission belt, a magnetic garbage collection device, and a vibration device , plastic collection device, bottle collection device, fruit and vegetable garbage collection device, control system, motor, drive device, data analysis device; the transmission belt is provided with a garbage constant volume funnel, a magnetic metal garbage sorting device, a high-definition CCD lens, The mechanical arm sorting device, the vibrating device is located under the transmission belt; the transmission belt is connected to the motor, and the magnetic metal garbage sorting device, high-definition CCD lens, motor, and data analysis device are all connected to the control system. The arm sorting device is connected.

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Abstract

The invention discloses a household waste sorting method based on machine vision. The method comprises: step 1, performing constant volume treatment on wastes to be sorted; step 2, forwardly delivering the wastes subjected to constant volume treatment with a delivery belt, sorting magnetic metal wastes using a metal waste sorting device, and putting the magnetic metal wastes into a magnetic wastecollecting device using a mechanical arm sorting device; step 3, continuously photographing the wastes moving at constant speed, feeding the photographed waste image to a database to be compared withand identify inherent image in the database, thereby judging whether the waste is non-fruit and vegetable waste; step 4, calculating weighted mean of geometric positions of all the outline pixels to obtain the position coordinates of the target waste in the delivery belt, and transmitting this position information to a control system. The present application utilizes a computer vision and image processing technology to sort non-fruit and vegetable wastes such as metal, bottles, PVC and stones in household waste, and fruit and vegetable wastes are fed to the next process.

Description

technical field [0001] The invention relates to a garbage sorting method, in particular to a machine vision-based household garbage sorting method. Background technique [0002] With the rapid development of social economy and the continuous growth of population, the output of municipal solid waste is also increasing, and it also shows a trend of increasing year by year. A big problem before us, at present, landfill, incineration, composting, pyrolysis and other garbage disposal methods are widely used in China. Before these treatment methods, garbage needs to be sorted and sorted. In the prior art, manual sorting is usually used to sort garbage, but manual sorting is time-consuming and labor-intensive, and the working environment of workers is very bad. Contents of the invention [0003] In order to solve the above-mentioned problems existing in the prior art, the application provides a kind of domestic waste sorting method based on machine vision, utilizes computer vis...

Claims

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Application Information

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IPC IPC(8): B09B3/00B03C1/16B07C5/34B07C5/342B07C5/36B07C5/38
CPCB03C1/16B07C5/34B07C5/342B07C5/362B07C5/38B09B3/00B07C2501/0063
Inventor 甄恒洲王珍王元刚王建维
Owner DALIAN UNIVERSITY
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