Intelligent littering garbage detection method based on video analysis

Abstract

The invention discloses an intelligent littering garbage detection method based on video analysis. The intelligent littering garbage detection method comprises the following steps that when a garbage thrower throws garbage, an infrared detection sensor and a radar detector are used for jointly detecting and starting to position the position of the garbage thrower, and a camera sends a collected garbage image to a server through a signal sending module; garbage features are analyzed through a feature analysis module, the garbage thrower is informed of a throwing position through a voice interaction module, and garbage classification treatment is achieved; when the garbage thrower does not throw garbage into a garbage can, an alarm module is started to prompt the garbage thrower to throw the garbage according to regulations, the camera shoots and collects behaviors of the garbage thrower, the feature analysis module is used for comparing face and body feature databases in a data storage module, and identity information of the garbage thrower is obtained; and when the same garbage thrower does not throw the garbage according to regulations for many times, the server reports the information of the garbage thrower to a background manager.

Description

technical field [0001] The invention relates to the field of environmental protection and the field of garbage delivery detection, in particular to an intelligent detection method for littering garbage based on video analysis. Background technique [0002] With the development of the economy and the improvement of people's living standards, the problem of garbage has become increasingly prominent. The rubbish is too much to bury and burn too much, causing a series of serious hazards. According to Wang Weiping, an expert on waste issues, the potential of waste recycling continues to grow with the development of living standards and the economy. Among the garbage components, metal, paper, plastic, and glass are regarded as resources that can be directly recycled, accounting for 42.9% of the total garbage, and the direct recycling rate should not be less than 33%. Moreover, other substances in garbage can also be converted into resources, such as food, grass and fabrics can b...

AI Technical Summary

Problems solved by technology

[0004] In the existing technology, many trash cans have relatively simple functions, and there are no nearby facilities that can supervise the garbage disposal of the garbage dumpers. In addition, many people do not have a high awareness of garbage disposal and garbage classification at present, resulting in unreasonable garbage disposal and classification. If it cannot be implemented well, it will bring a lot of trouble to the cleaning staff

On the other hand, due to the lack of knowledge about garbage classification, a lot of garbage is not clearly classified, which is also a problem faced by garbage classification

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