Garbage sorting device and method based on deep reinforcement learning

Abstract

The invention discloses a garbage sorting device and method based on deep reinforcement learning. The device comprises a workbench, a mechanical arm, an AI calculation unit and a camera which are arranged on the workbench. The workbench is provided with a to-be-sorted region for placing to-be-sorted garbage. The camera acquires image data regularly and sends the image data to the AI calculation unit, and the image data comprises the situation of the to-be-sorted garbage in the to-be-sorted region and the state of the mechanical arm; the AI calculation unit adopts a deep reinforcement learningmodel to calculate the current optimal action of the mechanical arm according to the image data acquired by the camera, outputs a corresponding control instruction and sends the control instruction tothe mechanical arm; and the mechanical arm acts according to the control instruction outputted by the AI calculation unit, grabs, moves and throws the to-be-sorted garbage so as to complete garbage sorting. The optimal action of the mechanical arm is obtained by adopting the deep reinforcement learning model without depending on garbage positioning and recognition, the classification speed is high and the classification accuracy is high.

Description

technical field [0001] The application belongs to the field of garbage sorting, and specifically relates to a garbage sorting device and method based on deep reinforcement learning. Background technique [0002] With the acceleration of urbanization and the improvement of the living standards of urban residents, the amount of municipal solid waste is also increasing sharply. At present, the volume of garbage removal in many cities in China has greatly exceeded the processing capacity of the treatment facilities. If untreated garbage is simply piled up or landfilled, it will occupy land and pollute the air, soil and groundwater. As a reform of traditional garbage collection and disposal methods, garbage classification is a scientific method for effective garbage disposal. If it is effectively implemented, it can achieve the effects of reducing land occupation, reducing pollution, recycling and reusing garbage. [0003] In view of the above situation, many cities in China ar...

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Problems solved by technology

[0005] However, due to the variety of garbage types faced by garbage classification, there is still a big gap in the intelligent garbage classification in the prior art, and the accuracy of garbage classification has been unsatisfactory. Therefore, how to use artificial intelligence technology to be flexible in garbage classification Applications become a research hotspot today

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