Automatic garbage classifier based on secondary-class recognition model

The invention discloses an automatic garbage classifier based on a secondary-class recognition model and relates to garbage classification equipment. The secondary-class recognition model based on deep neural network training is used in cooperation with a corresponding classification structure to se...

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Bibliographic Details
Main Author TANG GUOKAI
Format Patent
LanguageChinese
English
Published 07.08.2020
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
CONVEYING
COUNTING
GATHERING OR REMOVAL OF DOMESTIC OR LIKE REFUSE
HANDLING RECORD CARRIERS
HANDLING THIN OR FILAMENTARY MATERIAL
PACKING
PERFORMING OPERATIONS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
STORING
TRANSPORTING
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Summary:The invention discloses an automatic garbage classifier based on a secondary-class recognition model and relates to garbage classification equipment. The secondary-class recognition model based on deep neural network training is used in cooperation with a corresponding classification structure to sequentially recognize and classify garbage poured into a conveying structure, then the garbage is conveyed to each corresponding garbage storage tank through the conveying structure, the secondary-class recognition model is used for independently recognizing the characteristics of each type of garbage, independent and gradient classification is carried out, high accuracy is realized, the problem that manual classification is performed on the existing garbage classification, resulting in low efficiency, high labor cost, and being easy to cause errors is solved; and the problem that the existing automatic garbage classifier formed by no better and perfect method can be applied to actual life with high efficiency and a
Bibliography:Application Number: CN202010257981