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Intelligent garbage classification method based on machine learning and automatic garbage sorting device

A garbage sorting and automatic sorting technology, which is applied in the direction of garbage cans, garbage collection, waste collection and transfer, etc., can solve the problems of increasing the difficulty and workload of sorting, glass or other garbage personnel injury, and increasing the number of garbage bins, etc. , to achieve the effects of saving labor costs and time costs, saving deployment costs, and fast calculation speed

Inactive Publication Date: 2019-12-20
喻鑫童
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the same time, in the process of garbage transportation, in order to reduce the storage space and facilitate transportation, the garbage is compressed, and a large amount of glass will be broken, and the sorting operation of a large number of garbage dumps is often manually sorted, and broken glass or other garbage is also easy to cause Personnel injury increases the difficulty and workload of sorting work, which is undoubtedly a great test of people's quality and patience, and the variety of types will also increase the types of garbage bins infinitely, causing more confusion for people and difficulty in operation

Method used

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  • Intelligent garbage classification method based on machine learning and automatic garbage sorting device
  • Intelligent garbage classification method based on machine learning and automatic garbage sorting device
  • Intelligent garbage classification method based on machine learning and automatic garbage sorting device

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Embodiment 1

[0063] In order to clearly illustrate the intelligent garbage sorting method involved in the present invention, the garbage automatic sorting device applicable to the intelligent garbage sorting method is first described, see figure 1 and figure 2 The garbage automatic sorting device includes: a garbage bin body 1 and a rotating mechanism 2, the rotating mechanism 2 is arranged in the garbage bin body 1, and the garbage bin body 1 is provided with a garbage insertion port 11. A plurality of garbage storage boxes 12 are arranged in the garbage box body 1, and the garbage storage boxes 12 are used for accommodating corresponding types of garbage. Wherein, the number of garbage storage bins 12 is not specifically limited, and can be designed according to actual conditions.

[0064] In a practical application scenario, the garbage delivery port 11 can be arranged on the upper cover of the garbage bin body 1 (such as figure 1 shown). In a preferred embodiment, the garbage deliv...

Embodiment 2

[0089] Based on the garbage automatic sorting device of the foregoing embodiment, refer to Figure 7 , the present embodiment provides a machine learning-based intelligent garbage classification method, the intelligent garbage classification method includes the following steps:

[0090] Step 101: Detecting the garbage to be sorted, and acquiring a detection signal matching the garbage to be sorted, so as to determine the type of the garbage to be sorted.

[0091] Wherein, the garbage automatic sorting device of this embodiment is mainly applied to the sorting of recyclable garbage, wherein, recyclable garbage includes metal, glass, paper and plastic, that is, the types of garbage to be sorted include metal garbage and non-metal garbage Rubbish, described non-metallic rubbish comprises glass rubbish, paper rubbish and plastic rubbish.

[0092] In this embodiment, multiple sensors may be used to obtain detection signals and / or image acquisition devices may be used to obtain ima...

Embodiment 3

[0130] see Figure 11 , Figure 11 It is a schematic structural diagram of an automatic garbage sorting device provided by an embodiment of the present invention. The garbage automatic sorting device in this embodiment includes one or more processors 41 and memory 42 . in, Figure 11 A processor 41 is taken as an example.

[0131] Processor 41 and memory 42 can be connected by bus or other means, Figure 11 Take connection via bus as an example.

[0132] Memory 42, as a non-volatile computer-readable storage medium based on an intelligent garbage classification method, can be used to store non-volatile software programs, non-volatile computer-executable programs and modules, such as the machine-based Learned intelligent garbage classification methods and corresponding program instructions. The processor 41 executes various functional applications and data processing of the intelligent garbage classification method based on machine learning by running the non-volatile sof...

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Abstract

The invention discloses an intelligent garbage classification method based on machine learning and an automatic garbage sorting device. The method comprises the following steps that to-be-sorted garbage is detected, and a detection signal matched with the to-be-sorted garbage is acquired to determine the type of the to-be-sorted garbage; a first control signal and a second control signal are generated based on the type of the to-be-sorted garbage, and a first rotating assembly is controlled to move according to the first control signal so as to drive the to-be-sorted garbage to rotate in the horizontal plane and switch the position of the to-be-sorted garbage relative to a plurality of garbage storage boxes; and a second rotating assembly is controlled to move according to the second control signal so as to drive the to-be-sorted garbage to rotate in the vertical plane so as to pour the to-be-sorted garbage into the corresponding garbage storage box. According to the intelligent garbage classification method, the garbage can be automatically identified and classified, so that the confusion of people about garbage throwing is solved, in addition, the difficulty and workload of manual sorting can be reduced, the labor cost and the time cost are saved, and the resource recycling and utilization efficiency is improved.

Description

technical field [0001] The invention belongs to the field of garbage disposal, and more specifically relates to a machine learning-based intelligent garbage sorting method and a garbage automatic sorting device. Background technique [0002] With the improvement of people's living standards and consumption levels, while consuming a lot of resources and increasing the scale of production, more and more daily garbage is produced. Statistics show that in 1979, the volume of urban waste removal in the country was more than 25 million tons. In 1996, the removal fee of urban waste was 1.16 yuan / ton, which was four times that of 1979. After 2000, the increase was even more rapid. The traditional garbage disposal method is simply stacking or landfilling, which may lead to foul smell, sanitation deterioration, soil pollution and water pollution, and further affect people's living environment and health, with disastrous consequences. The means of harmless disposal of garbage include ...

Claims

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Application Information

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IPC IPC(8): B65F1/00B65F1/14
CPCB65F1/0053B65F1/1484B65F2210/138B65F2210/176B65F2210/152Y02W30/10
Inventor 喻鑫童
Owner 喻鑫童
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