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

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.

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...

AI Technical Summary

Problems solved by technology

At present, the sorting of recyclable garbage is still mainly carried out manually, which is a labor-intensive industry with low labor efficiency

[0003] Document "Ye Guangyuan, Xiong Zhengye, Li Mingshi, Chen Xuran. The Design of Intelligent Garbage Sorting Bins Monitored by the Internet of Things [J]. Digital Technology and Application, 2017 (01): 136-138." The dielectric constant of different wastes realizes garbage classification, which has the disadvantages of difficult sampling, limited types of identification, and high error rate. It is difficult to increase the types of garbage identification according to the actual garbage placement. Garbage sorting and placement have not yet been realized. At the same time, the installation position of the capacitive sensor needs to be manually adjusted. Unable to adapt to large-scale delivery, not very practical

Images