
Design of Vision Servo Sorting Robot System Based on SVM
Author(s) -
Yixin Liu,
Sheng Zhong,
Ziqi Tian,
Kebin He
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1550/2/022032
Subject(s) - sorting , robot , support vector machine , workload , computer science , artificial intelligence , servo , servomechanism , identification (biology) , machine vision , control engineering , engineering , computer vision , botany , biology , programming language , operating system
Aiming at the problems of the traditional industrial waste disposal, such as heavy workload, low efficiency and poor safety, a single visual servo sorting robot based on SVM is designed. These include intelligent identification and classification systems, and wireless communication systems. The robot adopts a rectangular coordinate robot structure. After collecting picture information, the robot interacts with the upper computer. The SVM algorithm is used to identify and classify the waste material to realize autonomous sorting and transportation of waste material. When the system is applied in practice, it can effectively reduce labor input, improve recovery efficiency, and reduce production costs.