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

System for accurately positioning mechanical part by machine vision in industrially-structured scene

A machine vision and precise positioning technology, applied in the field of video analysis, can solve the problems of low performance and achieve the effects of easy software use, simple construction, and saving manpower and material resources

Inactive Publication Date: 2012-10-03
FUDAN UNIV
View PDF4 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The performance of a single traditional image processing method is often not high when used for high-definition images, and image analysis is a key part of the entire system

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
  • System for accurately positioning mechanical part by machine vision in industrially-structured scene
  • System for accurately positioning mechanical part by machine vision in industrially-structured scene
  • System for accurately positioning mechanical part by machine vision in industrially-structured scene

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0058] Purpose: In the industrial scene, to detect and locate the parts on the work platform, and send the results to the robotic arm to complete the relevant sorting process.

[0059] Installed directly above the parts placement platform, the camera looking down on the platform vertically, with LED lights in the same direction as the camera to fill light, the image is transmitted to a computer in real time for video analysis.

[0060] The camera uses a 4 million pixel industrial camera installed directly above the platform, connected to the computer through a gigabit network cable, and the LED array light source is also installed directly above the platform to ensure uniform illumination of the platform.

[0061] The camera transmits the color image to the computer at a frame rate of about 25fps, and the software in the computer processes the image in real time. The software interface is written in C# based on the .Net architecture and runs on Windows XP and above. The computer use...

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 belongs to the technical field of video analysis and particularly relates to a system for accurately positioning a mechanical part by machine vision in an industrially-structured scene. The system comprises a camera arranged rightly above a part holding platform, an LED (light-emitting diode) light source and a computer, wherein the computer is provided with a software processing system; the software processing system comprises a software interface starting module, a camera calibrating and correcting module and a sample training module, and further comprises an image analyzing module and a communication module; when the system works, the image analyzing module is used for accurately and timely detecting and positioning the part and the communication module is used for transmitting a processed result to an executing device; performance differences of different image characteristic extracting methods are integrated by the system to form a set of cascading analysis algorithm; and erroneous detection rate is reduced under a limited calculation resource, so that the accurate identification and positioning of a target object is guaranteed, and the analysis is carried out in real time; and therefore, the actual requirements of industrial production are met.

Description

Technical field [0001] The invention belongs to the technical field of video analysis, and specifically relates to a positioning detection system for mechanical parts in an industrialized scene based on video. Background technique [0002] With the advancement of science and technology and the increase of labor costs, the industry's demand for automated and intelligent production tools continues to grow. Repeated and boring parts sorting can be done by machines controlled by intelligent software, which greatly reduces the company's demand for labor. . At the same time, a reasonably designed automated machine can perform repetitive work in a structured scene with high precision and for a long time. Compared with the manpower, it has obvious advantages, guarantees the quality of standardized products, and reduces the loss caused by human error. [0003] At present, in addition to the manual sorting of parts, some rely on the special structure of the assembly line to arrange the part...

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): G01B11/00G01B11/24B07C5/00G06K9/00G06T7/00
Inventor 张文强何慧钧张睿池明旻邱晓欣秦晋贤储之恒杜正阳
Owner FUDAN UNIV
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