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.

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.

Profiles Detection in Ring Convex Forming by ACLN with Sub-Pixel Accuracy

2007 ◽  
Vol 364-366 ◽  
pp. 199-204 ◽  
Author(s):  
Jang Ping Wang ◽  
Guo Ming Huang ◽  
Sheng Hua Yurs
Keyword(s):  
Image Processing ◽  
Measurement Data ◽  
Measuring System ◽  
Ring Test ◽  
Learning Network ◽  
Vision Inspection ◽  
Subpixel Accuracy ◽  
Constant Friction ◽  
Edge Points ◽  
Machine Vision Inspection

An optical measuring system for the ring test is proposed. In this approach, the machine vision inspection equipment is first built to record and capture the images of ring test from the digital camcorder.The image processing procedures to detect and locate the edge points of the inner and outer radii in ring convex forming are presented. Unlike the conventional sub-pixel estimation based on gray-level values, the quantity (8 bits) of color’s scale has been adopted. In image processing procedures, a clustering method called Adaptive Competitive Learning Network (ACLN) is first used to classify the image hues which represent the different heights of bulge profiles on the top of ring, and then the edge points can be searched by the interpolation step of subpixel accuracy. The calibration curves constructed by the mode of non-constant friction factor called F-value approach is designed to compare and check with the measurement data. The experimental results will be presented and discussed in this study.

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.

Development of Ultralow-Cost Machine Vision System

2017 ◽  
Vol 11 (4) ◽  
pp. 629-637 ◽  
Author(s):  
Kenichi Endo ◽  
◽  
Teruyuki Ishiwata ◽  
Tomohiro Yamazaki
Keyword(s):  
Machine Vision ◽  
Vision System ◽  
Low Cost ◽  
Inspection System ◽  
Machine Vision System ◽  
Quality Improvements ◽  
Automobile Manufacturing ◽  
Vision Inspection ◽  
The Cost ◽  
Machine Vision Inspection

This paper reports on the development of a low-cost machine vision inspection system to promote the wide employment of the system and foster further quality improvements in automobile manufacturing. The machine vision system consists of a camera that takes images of an inspection target, lighting to ensure appropriate illuminance, and a controller that analyzes the images and gives inspection results. By optimizing the performance and using free software, we succeeded in the development of an ultralow-cost machine vision system for one tenth of the cost of commercially available factory automation machine vision systems. The development and results are introduced in this paper. The applicability of the ultralow-cost machine vision system platform to applications other than inspection is also discussed.

A Vision-Based Gap Detection Method during the Placement of Large-Scale Composite Structures

2011 ◽  
Vol 186 ◽  
pp. 11-15
Author(s):  
Li Cao ◽  
Wen Chen ◽  
Jun Xiao
Keyword(s):  
Image Processing ◽  
Video Processing ◽  
Composite Structures ◽  
Large Scale ◽  
Low Cost ◽  
High Quality ◽  
Detection Technology ◽  
Gap Measurement ◽  
Automatic Placement ◽  
On Line

Video processing technology is regarded as a low-cost detection technology in complex environment. Because the placement layer is thin and the surface is complex that causes high detection error and high cost in laser measurement. Two problems must be solved before using it in large-scale composite structures automatic placement. One is to obtain the high-quality and stable image, and the other is to improve efficiency of image processing. In this paper, a method obtaining the high quality placement gap images was studied. It made use of the optical characteristics of composite material’s surface texture. And some parameters were determined by experiments. To reduce the calculation cost of image processing, a placement gap measurement method based on line scanning was also proposed here. The method was effective in our detection experiments on an actual workpiece.

scholarly journals Computer image processing and neural network technology for boiler thermal energy diagnosis

2020 ◽  
Vol 24 (5 Part B) ◽  
pp. 3059-3068
Author(s):  
Qinghong Wu
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Thermal Energy ◽  
Processing System ◽  
Heat Energy ◽  
Image Feature ◽  
The Neural Network ◽  
Computer Image Processing ◽  
On Line ◽  
Parameter Values

The paper uses the flame image processing technology to diagnose the furnace flame combustion achieve the measurement of boiler heat energy. The paper obtains the combustion image of the flame image processing system, and extracts the flame image characteristics of the boiler thermal energy diagnosis, constructs the neural network model of the boiler thermal energy diagnosis, and trains and tests the extracted flame image feature parameter values as the input of the neural network. A rough diagnosis of the boiler?s thermal energy is obtained while predicting the state of combustion. According to the research results, a boiler thermal energy diagnosis system was designed and tested on the boiler of 200 MW unit. The experimental results confirmed the applicability of the system, which can realize on-line monitoring of boiler heat energy and evaluate the combustion situation.

Marker-guided auto-landing on a moving platform

2017 ◽  
Vol 5 (1) ◽  
pp. 28-42 ◽  
Author(s):  
Iryna Borshchova ◽  
Siu O’Young
Keyword(s):  
Image Processing ◽  
Visual Servoing ◽  
Low Cost ◽  
Field Tests ◽  
Processing Algorithm ◽  
Prototype System ◽  
Image Processing Algorithm ◽  
Suggested Approach ◽  
Content Type ◽  
Moving Platform

Purpose The purpose of this paper is to develop a method for a vision-based automatic landing of a multi-rotor unmanned aerial vehicle (UAV) on a moving platform. The landing system must be highly accurate and meet the size, weigh, and power restrictions of a small UAV. Design/methodology/approach The vision-based landing system consists of a pattern of red markers placed on a moving target, an image processing algorithm for pattern detection, and a servo-control for tracking. The suggested approach uses a color-based object detection and image-based visual servoing. Findings The developed prototype system has demonstrated the capability of landing within 25 cm of the desired point of touchdown. This auto-landing system is small (100×100 mm), light-weight (100 g), and consumes little power (under 2 W). Originality/value The novelty and the main contribution of the suggested approach are a creative combination of work in two fields: image processing and controls as applied to the UAV landing. The developed image processing algorithm has low complexity as compared to other known methods, which allows its implementation on general-purpose low-cost hardware. The theoretical design has been verified systematically via simulations and then outdoors field tests.

Image Processing Algorithm for Real-Time Crack Inspection in Hole Expansion Test

2019 ◽  
Vol 20 (7) ◽  
pp. 1139-1148 ◽  
Author(s):  
Seungho Choi ◽  
Kwangyoon Kim ◽  
Jaeho Lee ◽  
Sung Hyuk Park ◽  
Hye-Jin Lee ◽  
...  
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Processing Algorithm ◽  
Image Processing Algorithm ◽  
Hole Expansion ◽  
Expansion Test ◽  
Hole Expansion Test
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