Research on Design and Application of Brand Vision Inspection and Sorting System Based on Image Processing

2020 ◽  
Author(s):  
Caixia Wu
Keyword(s):  
Image Processing ◽  
Vision Inspection ◽  
Sorting System ◽  
Design And Application

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.

Automated Fertilized Duck Egg Sorting System Using Image Processing

2017 ◽  
Vol 23 (6) ◽  
pp. 5191-5194 ◽  
Author(s):  
Michael Anthony T Valdez ◽  
Phillip Alvin S. Tiam Watt ◽  
Gerino P Mappatao
Keyword(s):  
Image Processing ◽  
Duck Egg ◽  
Sorting System

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 Target Positioning and Sorting Strategy of Fruit Sorting Robot Based on Image Processing

2021 ◽  
Vol 38 (3) ◽  
pp. 797-805
Author(s):  
Jianhong Yu ◽  
Weijie Miao ◽  
Guangben Zhang ◽  
Kai Li ◽  
Yinggang Shi ◽  
...  
Keyword(s):  
Image Processing ◽  
Feature Extraction ◽  
Spatial Model ◽  
Food Industry ◽  
Three Dimensional ◽  
Automated Production ◽  
Program Flow ◽  
Sorting System ◽  
3D Scene ◽  
Fruit Sorting

To a certain extent, automated fruit sorting systems reflect the degree of automated production in modern food industry, and boast a certain theoretical and application value. The previous studies mostly concentrate on the design of robot structure, and the control of robot motions. There is little report on the feature extraction of fruits in specific applications of fruit sorting. For this reason, this paper explores the target positioning and sorting strategy of fruit sorting robot based on image processing. Firstly, the authors constructed a visual sorting system for fruit sorting robot, and explained the way to recognize objects in three-dimensional (3D) scene and to reconstruct the spatial model based on sorting robot. Next, the maturity of the identified fruits was considered the prerequisite of dynamic sorting of fruit sorting robot. Finally, the program flow of the fruit sorting robot was given. The effectiveness of our strategy was verified through experiments.

scholarly journals PENERAPAN REKAYASA MESIN SORTIR SEBAGAI PENENTU KEMATANGAN BUAH JERUK DAN TOMAT MERAH BERBASIS IMAGE PROCESSING

2020 ◽  
Vol 9 (3) ◽  
pp. 222
Author(s):  
Ridwan Siskandar ◽  
Noer A Indrawan ◽  
Billi Rifa Kusumah ◽  
Sesar Husen Santosa ◽  
Irmansyah Irmansyah ◽  
...  
Keyword(s):  
Image Processing ◽  
Light Intensity ◽  
Color Image ◽  
Image Data ◽  
Post Harvest ◽  
Automation Systems ◽  
Efficient Alternative ◽  
Sorting System ◽  
Production Automation ◽  
Fruit Sorting

The embedded systems in the industrial, especially image processing, is increasingly leading to the study of production automation systems such as fruit sorting. Post-harvest sorting system implemented by the industry is manual, so it’s not effective. The solution was to conduct research aimed at modifying post-harvest sorting tools by engineering tomato and orange sorting machines based on their color. The method uses image processing. It’s the most efficient alternative in terms of cost and complexity of hardware design, does not require many sensors, but produces an accurate output. The camera is placed on the mechanical sorting machine system, taking images to determine the sorting execution after the fruit color type are recognized. The results of the research were carried out through several tests, namely: light intensity, color image data, and organoleptics. Light intensity test showed that the position of the tool had a value of 0.78% of the outside light disturbance. Color image shows the range of ripeness values (R/G) for raw tomatoes 0<=1.04; half ripe tomatoes 1.04<=1.39; ripe tomatoes 1.39<=3.59; raw orange 0<=0.92; undercooked oranges 0.92<=0.98; and ripe oranges 0.98<=1.66. Organoleptic test from five observers had the same results as the reading on the fruit sorting tool. Keywords : engineering, fruit maturity, oranges, sorting machines, tomatoes

An automatic sorting system for fresh white button mushrooms based on image processing

2018 ◽  
Vol 151 ◽  
pp. 416-425 ◽  
Author(s):  
Fengyun Wang ◽  
Jiye Zheng ◽  
Xincheng Tian ◽  
Jianfei Wang ◽  
Luyan Niu ◽  
...  
Keyword(s):  
Image Processing ◽  
Automatic Sorting ◽  
Button Mushrooms ◽  
Sorting System ◽  
White Button Mushrooms

scholarly journals Image processing of Casting defects based on Convolutional neural network

2021 ◽  
Vol 2137 (1) ◽  
pp. 012059
Author(s):  
Bowen Wei ◽  
Weixin Gao
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Convolutional Neural Network ◽  
Defect Detection ◽  
Network Architecture ◽  
Casting Defect ◽  
Neural Network Architecture ◽  
Vision Inspection ◽  
Design Requirements ◽  
Metal Castings

Abstract At present, there are numerous losses caused by corrosion cracking of metal castings in engineering in China. In order to detect the possible defects of metal castings in engineering, the laser ultrasonic vision inspection technology is used to image the castings, and then the identification efficiency is low. In order to process these images efficiently and quickly, convolutional neural network image processing technology is introduced. According to the actual needs, a convolutional neural network architecture is designed to recognize images, and whether the architecture meets the requirements is verified. Experimental results show that the performance of the architecture meets the design requirements. Under the same conditions, this structure provides a solution for casting defect detection combined with artificial intelligence.

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