基于ARM平台的校园垃圾分拣移动机器人设计与开发

Design and Implementation of Campus Garbage Sorting Mobile Robot based on ARM Platform

  • 摘要: 随着社会对环境保护和垃圾分类的重视,校园环境中的垃圾管理变得日益重要。该文提出了一种ARM平台技术解决方案,并设计了一款智能移动机器人,该机器人能够实现校园内垃圾的识别、分拣和收集。其采用了视觉识别技术和机械臂操作技术,通过摄像头获取图像信息,利用深度学习算法对垃圾进行分类识别,并使用机械臂进行精准抓取和分拣。实验结果表明,该移动机器人在校园环境中具有良好的实用性和可行性,能够有效地解决校园垃圾管理难题,为校园环境的整洁和垃圾资源化利用提供了有效的技术支持。

     

    Abstract: With the social emphasis on environmental protection and garbage classification, garbage management in campus environment has become increasingly important. This paper proposes a solution using ARM platform technology, and designs an intelligent mobile robot, which can realize the identification, sorting and collection of garbage in the campus. The robot uses visual recognition technology and robotic arm operation technology, obtains image information through the camera, uses deep learning algorithm to classify and recognize garbage, and uses the robotic arm to accurately grasp and sort. The experimental results show that the mobile robot has good practicability and feasibility in the campus environment, can effectively solve the problem of campus waste management, and provide effective technical support for the clean campus environment and waste resource utilization.

     

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