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- W4382053567 abstract "With the acceleration of urban development in China, the storage of municipal garbage is becoming larger and larger, so it is urgent to ensure the efficient recycling of garbage. In the traditional garbage sorting line, there is usually a manual sorting platform. Relying on manpower to complete the task of garbage sorting, not only the operation efficiency is low and there are security risks. Urban life is becoming more and more humanized and intelligent, and urban waste treatment is also gradually developing to be intelligent. In order to solve the problem of garbage classification automation, this paper designs a set of intelligent sorting system based on visual recognition, introduces the overall scheme and control scheme of the system, designs the conveyor belt device, vision system, and realizes the garbage sorting function through visual system recognition and industrial robot dynamic tracking and grasping." @default.
- W4382053567 created "2023-06-27" @default.
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- W4382053567 date "2023-04-01" @default.
- W4382053567 modified "2023-09-25" @default.
- W4382053567 title "Deep Learning Based Recognition and Control Algorithm for Garbage Classification Robot" @default.
- W4382053567 doi "https://doi.org/10.1109/acedpi58926.2023.00021" @default.
- W4382053567 hasPublicationYear "2023" @default.
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