Household waste sorting method and system based on Internet big data and image treatment technology

Abstract

The invention discloses a household waste sorting method and a household waste sorting system based on Internet big data and an image treatment technology. The household waste sorting method comprisesthe following steps of: carrying out solid and liquid separation on to-be-sorted wastes which are sent to a waste treatment plant to obtain solid wastes; correspondingly detecting a 2D image, a 3D model and surface materialization attribute information of the solid wastes; sending the information to a cloud big database which can acquire the type of the solid wastes according to the information and then carrying out comparison; and sending the solid wastes to the corresponding type of garbage can after receiving the classification type of the solid wastes from the cloud bid database. The household waste sorting method disclosed by the invention improves the garbage sorting accuracy by virtue of the 2D image, the 3D image and physical material molecule analysis, and realizes great improvement of the garbage sorting accuracy in comparison with a method which implements garbage identification and sorting by using images only.

Description

technical field [0001] The invention relates to the technical field of garbage classification, in particular to a domestic garbage classification method and system based on Internet big data and image processing technology. Background technique [0002] Garbage classification is a reform of the traditional way of garbage collection and disposal, and a scientific management method for effective disposal of garbage. Facing the ever-increasing waste production and deteriorating environmental conditions, how to maximize the utilization of waste resources, reduce the amount of waste disposal, and improve the ecological environment through waste classification management is one of the urgent issues that the world is concerned about. [0003] Existing garbage sorting methods are complex, people lack comprehensive knowledge of garbage sorting, it is difficult to form a good habit of garbage sorting in a short period of time, and it is impossible to accurately remember and judge whic...

AI Technical Summary

Problems solved by technology

[0005] However, the above-mentioned garbage classification method still has the following obvious defects in the use process: 1, only image acquisition is carried out by the camera, and the obtained image information data cannot be processed very well and perfectly for the classified garbage. It will seriously affect the accuracy of garbage classification after classification through image information, which will reduce the efficiency of garbage identification and classification, and the failure of garbage classification will easily occur; 2. Using this garbage classification method cannot make residents be able to Having the conditions to understand the knowledge of garbage classification information still cannot improve the comprehensive knowledge of garbage classification that people lack, and it is even more difficult to form a good habit of proactively sorting garbage in a short period of time

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