Garbage classification system based on machine learning

A technology of garbage classification and machine learning, applied in the field of garbage cans, to achieve the effect of small error, accurate identification and high efficiency

Pending Publication Date: 2020-05-26
FOSHAN UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to propose a garbage classification system based on machine learning to solve one or more technical problems in the prior art, at least provide a beneficial choice or create conditions

Method used

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  • Garbage classification system based on machine learning
  • Garbage classification system based on machine learning
  • Garbage classification system based on machine learning

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Embodiment 1

[0021] Embodiment 1, with reference to Figure 1 to Figure 3 , a garbage sorting system based on machine learning, comprising: a garbage can main body 100, a camera 201, an image recognition module 202, a result processing module, a GPS module, an odor detection module, a capacity detection module, an alarm module and a background management system; the garbage can The main body 100 includes: several garbage input ports 101 and several garbage storage spaces 102; the result processing module includes: a microprocessor 203, a display screen 204, a loudspeaker 206, a garbage can switch 205 and a memory.

[0022] The garbage placement space 102 is connected with the garbage delivery port 101; the camera 201 and the result processing module are connected with the image recognition module 202 respectively; the peculiar smell detection module, the capacity detection module and the alarm module are connected with the result processing module respectively; the microprocessor 203 is con...

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Abstract

The invention discloses a garbage classification system based on machine learning. The garbage classification system comprises a garbage can body, a camera, an image recognition module and a result processing module; and the camera obtains an image of target garbage, the image recognition module recognizes the image to obtain the garbage type, the result processing module processes the garbage type result and displays the result on a display screen, the garbage type result is broadcasted in a voice mode, and a garbage can switch is controlled to open a garbage throwing opening of the corresponding type for garbage throwing. Intelligent garbage classification is achieved, recognition is accurate, errors are small, and efficiency is high; and the garbage classification system can be used forgarbage cans.

Description

technical field [0001] The invention relates to the technical field of trash cans, in particular to a machine learning-based garbage classification system. Background technique [0002] Trash cans are an indispensable necessity in our life. Traditional trash cans have low waste utilization and recycling rates, resulting in waste pollution and waste of resources. At the same time, the functions of traditional trash cans are relatively single, and there is no garbage classification. With the trend of life development, garbage sorting now requires manual sorting, which is inefficient, and often cannot correctly determine the type of garbage, and there are many problems in garbage sorting. Contents of the invention [0003] The purpose of the present invention is to propose a garbage classification system based on machine learning to solve one or more technical problems in the prior art, and at least provide a beneficial option or create conditions. [0004] The object of the...

Claims

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Application Information

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Patent Type & AuthorityApplications(China)
IPC IPC(8): B65F1/00B65F1/14
CPCB65F1/0033B65F1/14B65F1/1484B65F2210/138
Inventor杨戬王东
OwnerFOSHAN UNIVERSITY