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Indoor household garbage automatic sorting device based on artificial intelligence

A technology for automatic sorting of domestic waste, applied in trash cans, garbage collection, waste collection and transfer, etc., can solve the problems of insignificant waste reduction effect, poor sorting effect, lack of willingness, etc., to solve the problem of poor identification effect, Good consistency and good lighting conditions

Inactive Publication Date: 2019-04-23
阿尔飞思(昆山)智能物联科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The invention creates a device that is suitable for indoor places and can realize the automatic classification of domestic waste, which solves the problems of lack of willingness, poor classification effect, large labor load, and garbage collection caused by the original domestic waste manual classification device relying on people's voluntary behavior for classification. The reduction effect is not obvious, etc.

Method used

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  • Indoor household garbage automatic sorting device based on artificial intelligence
  • Indoor household garbage automatic sorting device based on artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] Embodiment 1: a kind of device based on artificial intelligence indoor house refuse automatic sorting, its specific working steps are as follows:

[0041] Step 1: The main control unit detects the trigger signal of the proximity sensor, then opens the door and the fill light;

[0042] Step 2: After receiving the signal from the proximity sensor, close the door;

[0043] Step 3: Control the camera to take photos, and compare the obtained photos with the reference image obtained when starting up.

[0044] Comparison 1) If the color-based distribution feature comparison is less than the preset threshold, it means that no material has been fed after opening the warehouse door, and no identification is required;

[0045] Contrast 2) If it is greater than the preset threshold, it means that feeding has been carried out, and the acquired photos are compressed into jpeg format and uploaded to the cloud platform for recognition results.

[0046] Step 4: If no result is returne...

Embodiment 2

[0048] Embodiment 2: a kind of device based on artificial intelligence indoor house refuse automatic sorting, its specific working steps are as follows:

[0049] Step 1: The main control unit detects the trigger signal of the proximity sensor, then opens the door and the fill light;

[0050] Step 2: However, if the proximity sensor has not received the away signal for more than 10 seconds, it will be judged that the opening of the warehouse has timed out, and the warehouse door will be automatically closed, and the normal photo identification process in Example 1 will be carried out.

Embodiment 3

[0051]Embodiment 3: a kind of device based on artificial intelligence indoor house refuse automatic sorting, its specific working steps are as follows:

[0052] Step 1: At any time, the main control unit detects that the overflow sensor changes from off to on, and after it remains stable for more than 10 seconds, an alarm event will be triggered and the alarm data will be uploaded to the cloud platform.

[0053] Step 2: After the cloud platform receives the message, it distributes the message to the mobile phone of the designated maintenance personnel to remind the on-site cleaning and transportation. After the cleaning and transportation are completed, the overflow sensor will automatically return to the off state and cancel the alarm.

[0054] Step 3: Turn on the supplementary light when the main control unit is turned on, and take an image of the flipped board as a reference image. After that, once every 30 minutes, in the standby state, turn on the fill light and take an i...

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PUM

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Abstract

At present, various front-end equipment used for garbage classification appears on the market, and the front-end equipment is based on an artificial classification mode. The invention provides an indoor household garbage automatic sorting device based on artificial intelligence, automatic classification of the household garbage can be realized, an artificial intelligence image classification meansis adopted, the problem that the automatic classification of the household garbage cannot be realized in the prior art is fundamentally solved, and the manual classification of the household garbageis promoted to be automatically classified. According to the indoor household garbage automatic sorting device based on artificial intelligence, the problem that the willingness is insufficient, the classification effect is poor, the labor amount is large, the garbage decrement effect is not obvious and the like due to the fact that the original household garbage artificial classification device is classified according to the autonomous behavior of people are overcome.

Description

technical field [0001] The invention relates to the field of garbage classification, in particular to the field of artificial intelligence garbage classification. Background technique [0002] At present, more than 90% of the available waste in China is landfilled or incinerated. The prerequisite for achieving maximum utilization is waste classification. In Beijing, Hangzhou, etc., the garbage sorting pilot has been implemented for 14 years, but there is no obvious effect. Although garbage bins of different colors are placed at the entrance of the community, all kinds of garbage are still mixed, and the free degradable garbage bags are also used. Pack other garbage. [0003] All kinds of front-end equipment for waste classification that appear on the market at present are all based on the manual classification mode. That is, the person who puts the garbage first distinguishes the category of the garbage (two classifications, four classifications, and six classifications),...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B65F1/00B65F1/14B65F1/16
CPCB65F1/0033B65F1/1484B65F1/1638B65F2210/128B65F2210/138B65F2210/165B65F2210/168B65F2210/196Y02W30/10
Inventor 金雷刘少辉
Owner 阿尔飞思(昆山)智能物联科技有限公司
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