Garbage type recognition system based on deep learning

A deep learning and identification system technology, applied in the field of computer-aided automatic identification of garbage types, can solve problems such as difficulty in effective identification and on-demand classification, and achieve the effect of increasing accuracy and robustness

Inactive Publication Date: 2019-08-13
王胜春
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  • Garbage type recognition system based on deep learning
  • Garbage type recognition system based on deep learning
  • Garbage type recognition system based on deep learning

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Embodiment 1

[0019] A garbage type identification system based on deep learning proposed in an embodiment of the present invention includes a garbage classification data set, a garbage classifier, a garbage classifier training module and a real-time garbage type identification module.

[0020] The garbage sorting data set in the embodiment of the present invention is divided into garbage types according to the "Guidelines for Sorting Domestic Garbage of Capital Citizens" issued by the official website of the Beijing City Management Committee, and there are 3 major categories and 52 subcategories in total. In addition to this, "no garbage" is also set as the fourth category, which is divided into five subcategories. About 79,000 photos were collected from the Internet, about 8,000 photos were taken manually, and a total of about 87,000 photos were used as a garbage classification data set. The structure is as follows, where KW stands for kitchen waste, OW stands for other waste, and RW stand...

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Abstract

The invention discloses a garbage type recognition system based on a deep learning method in the field of computer-aided garbage classification. The system comprises a garbage classification data set,a garbage classifier, a garbage classifier training module and a real-time garbage type recognition module. The garbage classifier training module utilizes a garbage classification data set to traina garbage classifier, and the real-time garbage type recognition module collects image information from a camera of the real-time garbage type recognition module and then calls the garbage classifierto recognize the garbage type in an image and outputs a recognition result and a control signal. The system has the advantages that garbage classification does not depend on human garbage classification knowledge any more, and therefore the process of implementing garbage classification in China can be greatly accelerated.

Description

technical field [0001] The invention relates to a computer-aided garbage type automatic identification technology, in particular to a garbage type identification system based on a deep learning method. Background technique [0002] With the rapid development of my country's economy and the improvement of people's living standards, the amount of domestic waste has also increased sharply. According to statistics from the China Urban Environmental Sanitation Association, the annual output of urban domestic waste in the country exceeds 150 million tons, and it increases at an annual rate of 8% to 10%. About 800,000 mu. Among the 688 cities across the country, 2 / 3 of the large and medium-sized cities have been surrounded by garbage except the county seat, and 1 / 4 of the cities have no suitable places to pile up garbage. my country has become the most serious city surrounded by garbage in the world. one of the countries. Recycling of urban waste in foreign countries has entered ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/52G06F18/24G06F18/214
Inventor 王胜春
Owner 王胜春
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