This paper introduces an intelligent garbage sorting robot based on K210 and STM32. The system uses the K210 camera to collect the target garbage images, and applies the deep learning algorithm YOLO model to identify and classify the garbage. At the same time, the function of obstacle positioning and obstacle avoidance is realized through radar, and the mechanical arm is used to classify the garbage into the corresponding trash can. This system has certain practical value, can provide effective support for garbage classification work, and promote the construction of smart city.


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    Title :

    Design of a garbage sorting robot based on machine vision


    Contributors:
    Liu, Hongtao (author) / Wu, Tao (author) / Qi, Chenxi (author)


    Publication date :

    2023-10-11


    Size :

    2547231 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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