Image Processing Method Based on MATLAB in the Application of Belt Tracking with Industrial Robot

被引:0
作者
Tang Youan [1 ]
Zhao Lingyan [1 ]
Chen Gandong [1 ]
机构
[1] Shandong Jiaotong Univ, Sch Construct Machinery, Jinan, Peoples R China
来源
PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND NETWORKS, VOL II, CENET 2023 | 2024年 / 1126卷
关键词
Belt; Dynamical tracking; Industrial robots; Image processing;
D O I
10.1007/978-981-99-9243-0_51
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
At present, the application of industrial robots combined with visual systems to achieve dynamic grasping materials of the belt is becoming increasingly widespread. Unlike the behavior of industrial robots grabbing after the belt stops, industrial robots dynamically tracking and grabbing materials on the belt can greatly improve production efficiency. For vision, processing distorted material images during high-speed movement and to obtain accurate coordinate points of materials is a key task to improve the accuracy of the belt tracking applications with industrial robot. Developing image processing algorithms based on MATLAB can, on the one hand, utilize existing software and hardware interface functions to improve development efficiency; On the other hand, autonomous and controllable image processing algorithms can be developed based on application requirements to maximize system accuracy.
引用
收藏
页码:515 / 526
页数:12
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