Design, Control, And Development Of An Intelligent Of Waste Sorting System With A Robotic Arm

被引：1
|
作者：
Vo Thu Ha [1 ]
Than Thi Thuong [1 ]
Vo Thanh Ha [2 ,3 ]
机构：
[1] Univ Econ Technol Ind, Fac Elect Engn, Hanoi, Vietnam
[2] Univ Transport & Commun, Fac Elect & Elect Engn, Hanoi, Vietnam
[3] Univ Transport & Commun, 3 Cau Giay St, Hanoi, Vietnam
来源：
JOURNAL OF APPLIED SCIENCE AND ENGINEERING | 2023年 / 26卷 / 09期
关键词：
Waste Sorting; Robotic Arm; YOLO; Machine Vision; 6DOF;
D O I：
10.6180/jase.202309_26(9).0014
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The paper has presented the control and development of an intelligent garbage sorting system with a robot arm. This system consists of a machine vision block, a 6DOF robot manipulator, and a control unit for sorting garbage based on analytical images. YOLOv4 software will be identified the object by the neural network. This method is used for detecting and image recognition of different sizes and types of waste, such as paper-based garbage, metal garbage, and plastic garbage. The results of offline testing on a database of more than 600 untrained images show that the trained model has an average accuracy of about 98.43% for classifying different types of garbage.
引用
收藏
页码：1337 / 1344
页数：8
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