Reconfigurable Image Acquisition in the Machine Vision Inspection System

2012 ◽  
Vol 197 ◽  
pp. 376-380
Author(s):  
Da Xing Zhao ◽  
Lei Peng ◽  
Guo Dong Sun ◽  
Wei Feng
Keyword(s):  
Image Processing ◽  
Machine Vision ◽  
Image Matching ◽  
Visual Inspection ◽  
Detection System ◽  
Image Acquisition ◽  
Inspection System ◽  
Image Detection ◽  
Vision Inspection ◽  
Machine Vision Inspection

Since camera drivers provided by the different manufacturers are not compatible, machine vision systems must be redeveloped according to specific camera. It is great significant to work out the problem, which could improve the versatility of the inspection system. The reconfigurable technology has applied to image processing, image matching and so on. Hence, in the paper the reconfigurable image acquisition module is designed, which reserves some interfaces for the image detection module. Citing the nonel visual inspection system as an example, adopting DALSA and BASLER cameras to acquire the images, the images was displayed properly. Therefore, the compatibility of the image detection system has been improved greatly.

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.

Design of Nut Machine Vision Inspection and Screening Systems Based on PC

2013 ◽  
Vol 712-715 ◽  
pp. 2733-2737
Author(s):  
Zhong An Yu ◽  
Chun Li Wang ◽  
Pei Yu Guo ◽  
Kong Kan
Keyword(s):  
Image Processing ◽  
Machine Vision ◽  
Processing Speed ◽  
High Reliability ◽  
Single Chip ◽  
The Core ◽  
Vision Inspection ◽  
System Use ◽  
Fast Processing ◽  
Machine Vision Inspection

This system use PC as the core of image analysis and processing, with the single chip processor as the control core execution, combining with machine vision image processing technology, using advanced image processing algorithms, to achieve separation of the nut, and through experiments to test the correctness of the algorithm. The system has the advantage of a fast processing speed and high reliability. It not only save the manpower cost, but also improve the efficiency of the nut sorting.

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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