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Article classification control system and method based on industrial robot

An industrial robot and control system technology, applied in the direction of program control manipulator, color TV parts, TV system parts, etc., can solve the problems of low efficiency and low accuracy of object recognition, and achieve the effect of improving efficiency and avoiding inconvenience

Active Publication Date: 2022-07-15
广东天太机器人有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of the above defects, the present invention proposes an object classification control system and method based on industrial robots, the purpose of which is to solve the problems of low efficiency of manually classifying objects and low accuracy of identifying objects through a single identification module

Method used

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  • Article classification control system and method based on industrial robot
  • Article classification control system and method based on industrial robot
  • Article classification control system and method based on industrial robot

Examples

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Embodiment Construction

[0040] Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary, only used to explain the present invention, and should not be construed as a limitation of the present invention.

[0041] An object classification control system based on an industrial robot, comprising a manipulator device, a manipulator arm and a template database, the output end of the manipulator arm is provided with a manipulator device, and is characterized in that:

[0042] The template database is provided with multiple templates of all angles of the target object, each angle of the target object corresponds to a template, and each template includes feature information corresponding to the angle of t...

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Abstract

The invention discloses an object classification control system and method based on an industrial robot, the control system comprises a manipulator device, a mechanical arm and a template database, the output end of the mechanical arm is provided with the manipulator device, and the template database is provided with a plurality of full-angle templates of a target object; the manipulator device is provided with a plurality of shooting modules, sending modules and object recognition modules; the shooting module is used for shooting and acquiring an image of a to-be-recognized object; the sending module is used for sending the image of the object to be recognized to the object recognition module; the object recognition module is used for extracting feature information of the to-be-recognized object image and matching the feature information with each template image of the template database to obtain a recognition result; the mechanical arm is provided with a control module, and the control module is used for generating a track instruction for controlling the mechanical arm to move and an instruction for controlling the manipulator device to grab and release the target object according to the recognition result. The problems that the manual object classification efficiency is low, and the precision of object recognition through a single recognition module is not high are solved.

Description

technical field [0001] The invention relates to the application field of mechanical arms, in particular to an object classification control system and method based on an industrial robot. Background technique [0002] With the continuous progress of social civilization, people need to manually sort a large number of objects into their respective categories when classifying objects. However, in the process of object sorting, some large objects are cumbersome and difficult for people to lift. Sorting; some small objects are relatively small, such as screws, pens, etc., people need to spend a certain amount of work to select these small objects for identification and classification, which greatly reduces the efficiency of object classification; and when people use machines When classifying objects, most of them use a single recognition module for recognition, which sometimes causes the recognition accuracy of objects to be low. SUMMARY OF THE INVENTION [0003] In view of th...

Claims

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Application Information

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IPC IPC(8): B25J9/16H04N5/232
CPCB25J9/1697H04N23/61Y02P90/02
Inventor 龙腾发吴志诚王治华陈志满
Owner 广东天太机器人有限公司
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