Unlock instant, AI-driven research and patent intelligence for your innovation.

A tread detection method based on machine vision

A detection method and machine vision technology, applied in the direction of instruments, measuring devices, image analysis, etc., can solve the problems of large measurement errors, low efficiency, and insufficient detection methods, and achieve the effect of high precision and fast detection speed

Active Publication Date: 2018-11-02
芜湖启博知识产权运营有限公司
View PDF2 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to uncertain factors such as possible slippage of the tread during the operation of the transmission system, the tread cut out by the above method still needs to be measured twice to ensure product quality, and the traditional method of the second measurement is to take samples by workers with a tape measure beside the production line Measurement, this detection method is not comprehensive enough, the measurement error is large, and the efficiency is low

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
  • A tread detection method based on machine vision
  • A tread detection method based on machine vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0042] Such as figure 1 and 2 As shown, a tread detection method based on machine vision, the specific steps are as follows:

[0043] Step 1: Collect tread images with industrial cameras.

[0044] Step 2: Perform smoothing and filtering on the tread image. Here, considering that the Gaussian filter and its reciprocal cannot be realized in a recursive manner, the Deriche recursive smoothing filter is selected for smoothing and filtering.

[0045] Step 3: Perform threshold segmentation on the image after smoothing and filtering according to a preset threshold, and the preset threshold is automatically set by an automatic threshold segmentation operator according to the image after smoothing and filtering.

[0046] Step 4: Calculate the average value and variance of the gray histogram of the image processed in step 3, and extract the preprocessed image according to t...

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 tread detection method based on machine vision. Design a tread detection method based on machine vision, use machine vision software halcon technology and image processing algorithm to ensure system reliability, measurement accuracy, improve production efficiency and product quality, and realize intelligent tread detection. urgent need for production. The present invention extracts the tread image taken by an industrial camera, performs smoothing filtering and threshold segmentation, and uses the gray distribution characteristics to extract the region to be processed; then performs feature selection on the preprocessed image to identify the length of the tread; uses the edge The detection operator extracts the line segment at the lower end of the tread, and finds the angle between it and the horizontal line segment, that is, the inclination angle; among them, the actual length of the tread is calculated by obtaining the mapping relationship between the image coordinates and the length through calibration. The invention has fast detection speed and high precision.

Description

technical field [0001] The invention belongs to the technical field of machine vision, and in particular relates to a tread detection method based on machine vision. Background technique [0002] Rubber tires are one of the important products of my country's chemical industry. Tire cutting is an important link in the production of semi-finished products in tire factories. The cutting accuracy directly affects the quality of tire forming semi-finished products, and then affects the internal quality of tire products. Most of the existing tire cut-to-length cutting systems install encoders in the system drive rollers, and when the system is moving, the length is determined by capturing a certain number of pulse signals and a cutting signal is sent out. Due to uncertain factors such as slipping of the tread during the operation of the transmission system, the tread cut out by the above method still needs to be measured twice to ensure product quality, and the traditional method ...

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 Patents(China)
IPC IPC(8): G06T7/00G01B11/02G01B11/26
CPCG01B11/02G01B11/26G06T7/0008G06T2207/10004G06T2207/30108
Inventor 祝磊阮宇静何小宇韩自营
Owner 芜湖启博知识产权运营有限公司
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More