Garbage classification system and method based on garbage recognition

Abstract

The invention provides a garbage classification system and method based on garbage recognition, and relates to the field of garbage classification treatment. According to the garbage classification system based on garbage recognition, through the combination of a data crawler, an image recognizer and a semantic recognizer, pictures related to recoverable garbage, harmful garbage, kitchen garbage and other garbage on the Internet are crawled down, the pictures are labeled through the image recognizer, real object nouns are reserved in a garbage classification label library through a semantic recognizer, the garbage classification label library is established, and labels of images uploaded by a user are retrieved in the garbage classification label library, so that garbage is recognized and classified, training images do not need to be labeled manually, manual guidance in material screening is avoided, and blind areas can be identified; and meanwhile, through a word meaning similarity comparison function of the semantic recognizer, labels with different words but the same word meaning can be matched, so that the generalization ability of the system is greatly improved.

Description

technical field [0001] The invention relates to the field of garbage classification and processing, in particular to a garbage classification system and method based on garbage identification. Background technique [0002] Since people have long-term lack of experience in garbage classification and lack of common-sense understanding of garbage disposal and classification, in order to help people change the status quo and adapt to the habit of garbage classification as soon as possible, we not only need to promote garbage classification in legal terms, but also should Help people establish a correct concept of garbage classification, and help people distinguish the categories of daily garbage. [0003] Combined with the rapid development of Internet technology and smart phones, a system for querying and helping garbage sorting through smart phones has been born. The traditional garbage sorting system uses users to log in to the client, enter the name of the garbage to be quer...

AI Technical Summary

Problems solved by technology

[0003] Combined with the rapid development of Internet technology and smart phones, a system for querying and helping garbage sorting through smart phones has been born. The traditional garbage sorting system uses users to log in to the client, enter the name of the garbage to be queried into the text box for query, and the system By comparing the text of the user's input content with the back-end garbage classification database to determine the garbage category, it has the advantage of being simple and easy to implement, but the disadvantages are also very obvious

Text input limits the query speed and convenience. By comparing the text of the garbage classification database, the system does not have the generalization ability, and the update of the classification database is completely dependent on manual work, so it cannot give answers to searches beyond the scope.

[0004] The existing technology is to collect garbage images, match labels to the garbage through the image analysis system, process the labels through the semantic system, and then match with the data in the existing garbage classification database, so as to realize the classification and identification of garbage, but , training the image analysis system requires a lot of time and financial resources. The image analysis system needs a large number of classified garbage image materials as training materials, and the training materials are still selected by humans, and the images are matched with the correct labels through human judgment. The initial preparation The workload is huge, and there are human cognitive limitations in the selection of training materials, which leads to high system establishment costs, human orientation, and identification blind spots

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