Coarse-to-Fine Adaptive Illumination Hard-Adjustment for Vision Inspection System Under Uncertain Imaging Conditions

2019 ◽  
Author(s):  
Fei Chang ◽  
Yunqiang Duan ◽  
Min Liu ◽  
Mingyu Dong
Keyword(s):  
Inspection System ◽  
Vision Inspection ◽  
Coarse To Fine ◽  
Imaging Conditions

Intelligent Vision Inspection System for IC Engine Head: An ANN Approach

2012 ◽  
Vol 479-481 ◽  
pp. 2242-2245 ◽  
Author(s):  
Rajesh Kanna ◽  
Manikandan Saravana
Keyword(s):  
Machine Vision ◽  
Vision System ◽  
Back Propagation ◽  
Engine Block ◽  
Inspection System ◽  
Back Propagation Algorithm ◽  
Ic Engine ◽  
Vision Inspection ◽  
System Module ◽  
Artificial Neural Network Ann

A machine vision system based on Artificial Neural Network (ANN) for inspection of IC Engine block was developed to identify the misalignment and improper diminishing of holes in the IC Engine block. The developed machine vision and ANN module is compared with the commercial MATLAB® software and found results were satisfactory. This work is broadly divided into four stages, namely Intelligent inspection module, Machine Vision module, ANN module and Expert system module. A system with a camera was used to capture the various segments of head of the IC Engine block. The captured bitmap format image of IC Engine block has to be filtered to remove the noises present while capturing and the size is also altered using SPIHT method to an acceptable size and will be given as input to ANN. Generalized ANN with Back-propagation algorithm was used to inspect the IC Engine block. ANN has to be trained to provide the inspected report.

A vision inspection system for the surface defects of strongly reflected metal based on multi-class SVM

2011 ◽  
Vol 38 (5) ◽  
pp. 5930-5939 ◽  
Author(s):  
Zhang Xue-wu ◽  
Ding Yan-qiong ◽  
Lv Yan-yun ◽  
Shi Ai-ye ◽  
Liang Rui-yu
Keyword(s):  
Surface Defects ◽  
Inspection System ◽  
Vision Inspection

Area scanning vision inspection system by using mirror control

2001 ◽  
Author(s):  
Sang Y. Jeong ◽  
Sungwook Min ◽  
Wonyoung Yang
Keyword(s):  
Inspection System ◽  
Vision Inspection

Development of Automated Vision Inspection System for Two Wheeler Engine Crankshaft

MAPAN ◽  
2015 ◽  
Vol 30 (4) ◽  
pp. 273-280
Author(s):  
R. Deepa ◽  
J. Pradyumna ◽  
S. Harsha ◽  
S. Usha
Keyword(s):  
Inspection System ◽  
Vision Inspection ◽  
Two Wheeler ◽  
Engine Crankshaft

An Improved Rapid SURF Algorithm Based on Region of Interest

2014 ◽  
Vol 945-949 ◽  
pp. 1861-1868
Author(s):  
Ya Jun Liu ◽  
Ren Quan Wan ◽  
Zhong Ren Wang ◽  
Chang Cheng Jiang
Keyword(s):  
Image Matching ◽  
Region Of Interest ◽  
Threshold Value ◽  
Inspection System ◽  
Research Application ◽  
Matching Algorithm ◽  
Vision Inspection ◽  
Traditional Algorithm ◽  
Speed Up ◽  
Speed Up Robust Feature

The purpose of this paper is to research application of speed-up robust feature (SURF) based on the region of interest for workpiece matching and positioning. Thresholding is a simple but important method to perform image segmentation. In order to reduces the complexity of the data and simplifies the process of recognition, the image is segmented by threshold value method which eliminates and suppresses useless information of image background. The image matching algorithm shows a better performance on real-time than the standard SURF and it succeeds in accelerating the speed of image pre-processing before image matching. In addition, the good robustness and adaptability of SURF are maintained. Compared with the traditional algorithm, improved algorithm enhances the efficiency of vision inspection system and can be used in other applications of image matching.

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