Research of the Paper Defect On-Line Inspection System Based on Distributed Machine Vision

2012 ◽  
Vol 562-564 ◽  
pp. 1805-1808
Author(s):  
Xing Guang Qi ◽  
Yi Zhen
Keyword(s):  
Machine Vision ◽  
Real Time ◽  
High Speed ◽  
Large Field ◽  
Inspection System ◽  
Gigabit Ethernet ◽  
Vision Inspection ◽  
High Processing Speed ◽  
On Line ◽  
Machine Vision Inspection

This paper presents a distributed machine vision inspection system, which has a large field of view (FOV) and can perform high precision, high speed real-time inspection for wide paper sheet detection. The system consists of multiple GigE Vision linescan cameras which connected though Gigabit Ethernet. The cameras are arranged into a linear array so that every camera’s FOV is merged into one large FOV in the meantime the resolution keeps unchanged. In order to acquire high processing speed, the captured images from each camera are sent into one dedicate computer for distributed and parallel image processing. Experimental results show that the system with fine detection capability can satisfy the requirements of real time detection and find out the defects on the production line effectively.

An Online Visual Inspection System for Oil-Seal Dimension

2011 ◽  
Vol 130-134 ◽  
pp. 3548-3552
Author(s):  
Zhang Liang Wu ◽  
Chang Ku Sun ◽  
Jie Liu
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Low Cost ◽  
Measuring System ◽  
Inspection System ◽  
Image Processing Algorithm ◽  
Vision Inspection ◽  
Computer Image Processing ◽  
On Line ◽  
Machine Vision Inspection

Adoption of machine vision inspection and computer image processing technology, an oil-seal dimension measuring system was developed to meet the requirement of online production and real time inspection. The makeup and principle of the system were introduced, as well as its working process and design requirements were described on detailed. The technique of quadratic filtering for image preprocessing combined with the principle of three points determining a circle, point Hough transform and the least squares was employed for image processing algorithm, and high precision sub-pixel edge detection was achieved. The measuring results of experiments demonstrated that the inspection goal on 100 percents of products could be realized successfully, and with many advantages such as non-contact, on-line, real time, appropriate precision and low cost, the system can be applied widely in other production fields.

Design and Implementation of the Cold-Rolled Aluminum Plate Surface On-Line Defect Detection System

2013 ◽  
Vol 712-715 ◽  
pp. 2323-2326
Author(s):  
Xing Guang Qi ◽  
Hai Lun Zhang ◽  
Xiao Ting Li
Keyword(s):  
High Speed ◽  
Surface Defects ◽  
Detection System ◽  
Aluminum Plate ◽  
Gigabit Ethernet ◽  
Accurate Detection ◽  
High Processing Speed ◽  
Rolled Aluminum ◽  
On Line ◽  
Cold Rolled

This paper presents an on-line surface defects detection system based on machine vision, which has high speed architecture and can perform high accurate detection for cold-rolled aluminum plate. The system consists of high speed camera and industrial personal computer (IPC) array which connected through Gigabit Ethernet, achieved seamless detection by redundant control. In order to acquire high processing speed, single IPC as processor receives from and deals with only one or two cameras' image. Experimental results show that the system with high accurate detection capability can satisfy the requirement of real time detection and find out the defects on the production line effectively.

Research on Inspection System Formation of Cells in Gravure Cylinder Base on Machine Vision

2010 ◽  
Vol 174 ◽  
pp. 207-210
Author(s):  
Zi Fen He ◽  
Zhao Lin Zhan ◽  
Yin Hui Zhang
Keyword(s):  
Machine Vision ◽  
Production Management ◽  
Process Analysis ◽  
Image Sensor ◽  
Inspection System ◽  
Canny Operator ◽  
Vision Inspection ◽  
Sobel Operator ◽  
Dark Tone ◽  
Machine Vision Inspection

This paper presents a machine vision inspection system to detect deformation of cells in the process of gravure manufacturing, which can provide real-time reporting and detail testing process analysis and find problems and make adjustments to track the production process, more conducive to scientific production management. The formation of cells of gravure machine vision inspection system is able to change analog signal into digital signal of gravure image. We have applied the MATLAB image processing software to read the experiment images and histogram equalization. The edge of cells is extracted by using of Sobel operator and Canny operator. We use different thresholds and experimental sigma values that compare to experimental results. It is found that extraction using the Canny operator is better than Sobel operator. Canny edge extraction operator is best when the value of sigma is 16. According to the image used in this research to determine the standard cells carving the value of gaps d0 equals 125, the value of dark tone s0 equals 394, so its standard value of gaps and dark tone are d0 ± 10 and s0 ± 10. The value of gravure outlets gaps and dark tone are measured, while d and s is in the scope of standard range, which the output 1 of the cells determined to pass and the output 0 deemed to fail. We propose two solutions of cells deformation gravure machine vision inspection system. Through analysis and comparison of performance and economic of the lighting and image sensor, the final implementation of the program is identified.

scholarly journals Measurements of surface flatness distortions using machine vision inspection system

Mechanik ◽  
2017 ◽  
Vol 90 (12) ◽  
pp. 1155-1156
Author(s):  
Anna Zawada-Tomkiewicz ◽  
Dariusz Tomkiewicz ◽  
Lesław Wilk
Keyword(s):  
Thermal Treatment ◽  
Machine Vision ◽  
Vision System ◽  
Float Glass ◽  
Inspection System ◽  
Vision Inspection ◽  
Surface Flatness ◽  
Machine Vision Inspection

The use of a vision system for evaluating the flatness distortion of float glass under thermal treatment in a horizontal process is presented. The possibility of evaluation of such parameters as overall bow, roller wave and edge lift was analyzed for a pane of glass taken from production.

Transputer Based Parallel Processing Applied to Machine Vision Inspection

1991 ◽  
Author(s):  
Richard A. Carey ◽  
Wayne D. R. Daley ◽  
Jon S. Lindberg
Keyword(s):  
Feature Extraction ◽  
Machine Vision ◽  
Real Time ◽  
Image Enhancement ◽  
Image Acquisition ◽  
Image Interpretation ◽  
Real Time Processing ◽  
Flexible System ◽  
Vision Inspection ◽  
Machine Vision Inspection

Abstract The use of Machine vision systems has become more widespread in manufacturing processes for the purposes of quality control inspection, and product identification and sorting. Typical Machine Vision applications need to run in real time (30 frames per second), and as a result most of the existing systems are built from hardware to meet this speed requirement. There is currently no single processor that is reasonably priced and fast enough to provide real time performance on Machine Vision applications. This paper describes a Transputer based system that employs different architectures and algorithms to achieve real time processing speeds for some Machine Vision applications. The paper discusses the differences between sequential and parallel architectures, and the way the unique abilities of the Transputers are utilized to create a flexible system that provides the best performance for a variety of applications. The areas of Machine Vision discussed are Image Acquisition, Image Enhancement, Feature Extraction and Image Interpretation. Image Acquisition and interpretation are discussed briefly, with an in depth discussion of the algorithms and architecture needed to optimize Image Enhancement and Feature Extraction on a Transputer based system.

Machine Vision Inspection of In Vitro Diagnostic Kits

2013 ◽  
Vol 753-755 ◽  
pp. 2164-2169
Author(s):  
Jiang Ping Mei ◽  
Yi Liu
Keyword(s):  
Machine Vision ◽  
Surface Defects ◽  
Detection Threshold ◽  
Inspection System ◽  
Strip Surface ◽  
Diagnostic Kits ◽  
Vision Inspection ◽  
In Vitro Diagnostic ◽  
Machine Vision Inspection

A machine vision-based inspection system was proposed to inspect the defects of in-vitro diagnostic kits in the production line. The proposed system consisted of two sub-systems, which inspect the strip surface defects and strip assembly defects respectively. The procedure to inspect five types of major defects was determined by the application of image processing and analysis techniques such as image enhancement, edge detection, threshold segmentation, and morphology. The proposed system was implemented using 300 defect samples. Experimental results show the proposed system is effective and efficient.

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