Workpiece grabbing method and device based on vision system

A vision system and workpiece technology, applied in the field of workpiece grasping, can solve problems such as unfavorable, time-consuming, and shortening the tempo of automated production

Active Publication Date: 2020-06-09
三一机器人科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of this, the object of the present invention is to provide a method and device for grasping a workpiece based on a vision system, so as to relieve the technology of real-time photographing a

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  • Workpiece grabbing method and device based on vision system
  • Workpiece grabbing method and device based on vision system
  • Workpiece grabbing method and device based on vision system

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Embodiment Construction

[0042]In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. the embodiment. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0043] At present, in the process of using intelligent vision-guided magnetic suction tools to realize intelligent grasping operations, visual photography is used. After the photographing is completed, the processor analyzes the image information in real time to calculate the position of the workpiece and the information of the magnetic suction point. Among them, in the process of ana...

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Abstract

The invention provides a workpiece grabbing method and device based on a vision system and relates to the technical field of workpiece grabbing. The method comprises the steps that actual image information of a workpiece collected by the vision system is received and subjected to fitting comparison with preset image information of the workpiece, correction data of the actual image information andthe preset image information of the workpiece is obtained, and an actual movement path of an execution mechanism when grabbing the workpiece is analyzed according to the correction data; and the execution mechanism is controlled to move to the grabbing position along the actual movement path, and according to preset grabbing action information of the execution mechanism when grabbing the workpiece, the execution mechanism is controlled to move to grab the workpiece. By adopting a pre-processing technology in background, the data analysis volume is low, and the response and operation time of the system is greatly shortened, which helps to shorten the takt of automation production. Therefore, the production efficiency and yield of a production line are improved.

Description

technical field [0001] The invention relates to the technical field of workpiece grasping, in particular to a vision system-based workpiece grasping method and device. Background technique [0002] With the rapid development of industrial intelligent manufacturing, automation and intelligent workpiece loading and unloading have developed rapidly. One of the common equipment is to combine vision and magnetic suction tools to realize the intelligent arrangement of magnetic suction point matrix relationship to cooperate with the manipulator. Complete the grabbing work of the workpiece. This kind of equipment for intelligent vision-guided magnetic suction tools takes visual pictures. After the pictures are taken, the processor analyzes the image information in real time, and calculates the position of the workpiece and the information of the equipped magnetic suction points. Among them, in the process of analyzing the image information in real time to obtain the information of ...

Claims

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Application Information

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IPC IPC(8): B25J9/16B25J15/06G06T1/00G06T7/60G06T7/66G06T7/73
CPCB25J15/0608B25J9/16B25J9/1697B25J9/1628G06T7/74G06T1/0014G06T7/60G06T7/66G06T2207/30164
Inventor 代鹏鑫郭承志董西伟刘华明
Owner 三一机器人科技有限公司
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