Garbage can capable of automatic classifying based on visual recognition and classifying method

An automatic classification and visual recognition technology, which is applied in the direction of garbage cans, garbage collection, waste collection and transfer, etc., can solve the problem that the installation position of capacitive sensors cannot adapt to large-scale delivery, garbage sorting and delivery have not yet been realized, and increase the types of garbage identification, etc. problem, to achieve the effect of facilitating upgrade and secondary development, increasing the training picture set and picture training volume, and reducing the computational burden
CN110861852AInactive Publication Date: 2020-03-06石家庄邮电职业技术学院
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
石家庄邮电职业技术学院
Publication Date
2020-03-06
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a garbage can capable of automatic classifying based on visual identification and a classifying method. The garbage can comprises a garbage throwing opening, a first photoelectric switch sensor, an identifying and classifying tray, second photoelectric switch sensors, sub garbage cans, an image identification component, an STM32 controller, a double-path stepping motor driver and a garbage can shell, wherein the garbage throwing opening is formed in the side wall of the garbage can shell; the first photoelectric switch sensor is arranged in the garbage throwing opening;a plurality of sub garbage cans are arranged in the garbage can shell; a second photoelectric switch sensor is mounted in a can opening position of each sub garbage can; the identifying and classifying tray is arranged in the garbage can shell and is located above the sub garbage cans; the identifying and classifying tray comprises a garbage tray, a V-shaped baffle stepping motor, a camera, a V-shaped baffle, a support frame, a rotary baffle stepping motor and a rotary baffle. According to the garbage can, the camera is used for collecting garbage images; a TensorFlow deep learning frameworkis adopted; through transfer training of a model, the accuracy rate of garbage identification is increased.
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Description

technical field

[0001] The invention relates to the field of garbage classification, in particular to an automatic classification garbage bin and a classification method based on visual recognition. Background technique

[0002] There is a large amount of garbage in our country, many of which are recyclable garbage with reuse value. Realizing domestic garbage as a resource will bring huge benefits to the economy, society, environment and other aspects. The garbage sorting system is a complex system. From a structural point of view, it includes four links: garbage sorting collection, garbage sorting transportation, garbage sorting treatment, and garbage sorting recycling. The realization of garbage sorting needs to start from the source, and automatic sorting and collection of garbage is one of the effective countermeasures to solve the problem of garbage sorting. At present, the sorting of recyclable garbage is still mainly carried out manually, which is a labor-intensive i...

Claims

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