Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Multi-vision-based detection and assembly system and method

An assembly system, multi-vision technology, applied in metal processing, metal processing equipment, manufacturing tools, etc., can solve the problems of low assembly accuracy, high defective rate, low efficiency, etc., to reduce labor costs, reduce defective rate, The effect of improving assembly accuracy

Active Publication Date: 2021-07-23
NINGBO INST OF MATERIALS TECH & ENG CHINESE ACADEMY OF SCI
View PDF5 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The traditional detection of object defects by human eyes is not only inefficient, but also cannot detect every object, and the defective rate is high
In addition, simple and repetitive assembly operations are performed by humans, which has the disadvantages of low assembly accuracy, low efficiency, and easy fatigue.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-vision-based detection and assembly system and method
  • Multi-vision-based detection and assembly system and method
  • Multi-vision-based detection and assembly system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] The invention will be more fully understood by the following specific embodiments that should be read together with the accompanying drawings. The detailed embodiments of the present invention will be disclosed herein; however, it is understood that the disclosed embodiments are merely illustrative, and the present invention can be embodied in various forms. Thus, the specific functional details disclosed herein should not be interpreted as limiting, but only the basis of the claims is the basis of the claims and is interpreted as those skilled in the art in fact any suitable detailed embodiments in fact. The manner is a representative basis of the present invention.

[0040] One of the multi-visual detection and assembly systems and methods disclosed in the present invention, by automating the machine visual joint industrial robots, improve production efficiency and reduce the productivity.

[0041] like figure 1 As shown, a multi-visual detection and an assembly system di...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a multi-vision-based detection and assembly system and method. The system comprises an industrial robot, a first camera, a second camera, a third camera and an industrial personal computer, wherein, the industrial personal computer is connected with the industrial robot and used for positioning a workpiece on a working table according to a first image shot by the first camera, and guiding the tail end of the industrial robot to drive the second camera to move above the workpiece; used for carrying out secondary positioning on the workpiece according to a second image shot by the second camera and detecting whether the workpiece has flaws; and used for secondarily detecting whether the workpiece has flaws or not according to a third image shot by the third camera, carrying out angle measurement on the workpiece and controlling the industrial robot to move to an assembly area to carry out assembly operation according to the measured angle. According to the system, workpiece detection and assembly are automatically completed by combining machine vision with the industrial robot, the production efficiency is improved, and the defective rate is reduced.

Description

Technical field [0001] The present invention belongs to the field of industrial automation detection and assembly technology, which relates to a multi-visual detection and assembly system and method. Background technique [0002] With the rapid development of robotics, more and more industrial robots are applied to the field of industrial automation. Industrial Machines is a machine device for multi-joint or multi-freedom facing industrial sector, which can automatically work, mainly relying on the power system and control system to operate. Industrial robots have been widely used in electronic and 3C manufacturing, automotive and parts manufacturing, item sorting, stone wood product processing and other industries, mainly completing upper and lower materials, assembly, arc welding, spot welding, palletizing, grinding, sorting Waiting for work. [0003] Most of the traditional industrial robots use the teaching, reproduction mode. When performing tasks, just repeatedly reproduces...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): B23P19/00B07C5/342
CPCB23P19/00B07C5/3422
Inventor 方灶军靳凯强廉宏远张驰杨桂林
Owner NINGBO INST OF MATERIALS TECH & ENG CHINESE ACADEMY OF SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com