Garbage classification and recognition method and device based on target recognition

Abstract

The invention discloses a garbage classification and recognition method and device based on target recognition. The method includes the steps that a monitoring video in a garbage release region is acquired, attribute information of a target is determined, putting position information of all garbage cans in the garbage release region is determined according to target colors and target coordinates of the garbage cans, the states of garbage bags are determined according to the target coordinates of the garbage bags, the corresponding relation between the states of the garbage bags and the garbagecans is determined, and the release result of garbage in the garbage bags is determined based on the target colors of the garbage cans, the target colors of the garbage bags and the corresponding relation between the garbage bags and the garbage cans. The putting positions of the garbage cans are determined according to the information such as the colors and the coordinates of the garbage cans orthe garbage bags, the states of the garbage bags are analyzed, garbage release behaviors can be determined, thus, supervision and management of garbage classification behaviors and garbage can putting behaviors are enhanced, people are further helped to develop the habits of correctly releasing the garbage in a classified manner, and cleaners are restrained to correctly put the garbage cans.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of data processing, and in particular to a method and device for classifying and identifying garbage based on object identification. Background technique [0002] As the total amount of urban garbage increases year by year, garbage disposal has become one of the important factors affecting urban development. In order to improve the capacity of waste disposal, it is necessary to do a good job of sorting domestic waste when it is put in. Although my country's waste classification has been popularized and advocated for many years, due to insufficient supervision, the work of domestic waste classification is not satisfactory. With the introduction of the policy of compulsory classification of domestic waste, the traditional manual supervision method consumes a lot of manpower and is inefficient when carrying out waste classification supervision. [0003] my country's research on garba...

AI Technical Summary

Problems solved by technology

Although my country's waste classification has been popularized and advocated for many years, due to insufficient supervision, domestic waste classification is not satisfactory

With the introduction of the policy of compulsory classification of domestic waste, the traditional manual supervision method consumes a lot of manpower and is inefficient when carrying out waste classification supervision.

[0003] my country's research on garbage classification technology started relatively late. At present, the intelligence of garbage classification and identification systems is generally low, and to a large extent it still relies on manual work, which cannot realize the real sense of intelligent garbage classification and identification.

Among them, although the current intelligent garbage collection system can identify household garbage, the system only supports the identification and recycling of some common recyclable garbage, and cannot identify kitchen waste, hazardous garbage, and other garbage. Therefore, the system The system cannot fundamentally solve the problem of waste classification and identification, and cannot meet my country's requirements for domestic waste classification

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