Workpiece detecting and sorting device and method based on visual robot

A workpiece detection and visual detection technology, applied in sorting, instrument, image analysis and other directions, can solve the problems of low resolution and small image, and achieve the effect of improving the accuracy, good detection accuracy and real-time effect.

Active Publication Date: 2019-10-11
SUZHOU VOCATIONAL UNIV
View PDF7 Cites 21 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of the fact that there are many types of surface defects on the workpiece, most of the defects are relatively small,

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
  • Workpiece detecting and sorting device and method based on visual robot
  • Workpiece detecting and sorting device and method based on visual robot
  • Workpiece detecting and sorting device and method based on visual robot

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] The preferred technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0043] A device and method for detecting and sorting workpieces based on visual robots in the present invention mainly solves the problem of accurately detecting and classifying surface defects of workpieces by visual robots before sorting and transporting workpieces in the post-processing process of workpieces, and then judging whether workpieces are Qualified, and move the non-conforming products to the waste bin.

[0044] The visual experiment platform of the detection and sorting system mainly consists of a light source, a camera, an image acquisition card, and a robot 2. A first camera 15 is installed above the visual inspection area, and a second camera 23 is installed on the actuator 24 at the end of the robot 2 .

[0045] The first camera 15 completes the shooting of the casting and performs defect detection and classificat...

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 workpiece detecting and sorting device and method based on a visual robot. The device comprises a transmission device, a robot and a computer. The transmission device collects a workpiece image, analysis is carried out through a computer, and the robot grabs a damaged workpiece. Compared with the prior art, the workpiece detecting and sorting device and method based on the visual robot is characterized in that Haar-like features are adopted to establish a weak classifier based on gray level changes, an AdaBoost algorithm is used for forming a strong classifier with high accuracy, cascading of the strong classifier is then carried out, a region of interest (ROI) containing a target object is extracted in the image, and the better detection accuracy and the real-time effect are obtained; a defect image is obtained in the target object, and a level set method is used for obtaining a defect ROI to form a training sample; and a convolutional neural network (CNN) isintroduced as a training model, and the accuracy of defect classification is improved.

Description

technical field [0001] The invention relates to a device and method for detecting and sorting workpieces based on vision robots, belonging to the field of machine vision detection and classification. Background technique [0002] During the production process of the workpiece, due to its production environment, processing technology and production equipment and other factors, some surface defects will occur. For example, casting parts will cause surface defects such as holes, cracks, and air bubbles during the production process, and may also cause workpiece shape errors. . If it cannot be detected and processed in time, it will cause waste of processing resources and cause economic losses to the enterprise. Therefore, it is necessary to detect and classify the surface defects of the produced workpieces to avoid unnecessary losses caused by unqualified workpieces flowing into the market. The traditional detection method is mainly done manually and the detection accuracy is ...

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
IPC IPC(8): B07C5/34B07C5/36G06T7/00
CPCB07C5/34B07C5/361G06T7/0004
Inventor 吴倩
Owner SUZHOU VOCATIONAL UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap