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 Key Technology of Cold-Rolled Aluminum Plate Surface Defect Detection System

2013 ◽  
Vol 433-435 ◽  
pp. 915-918 ◽  
Author(s):  
Hai Lun Zhang ◽  
Xing Guang Qi ◽  
Xiao Ting Li
Keyword(s):  
Defect Detection ◽  
Surface Defect ◽  
Detection System ◽  
Aluminum Plate ◽  
Aluminum Surface ◽  
Image Processing Algorithm ◽  
Key Technologies ◽  
Rolled Aluminum ◽  
Surface Defect Detection ◽  
Cold Rolled

This paper presents the research of several key technologies during the implementation of cold-rolling aluminum surface defect detection system, including the difficulty of achieving these key technologies and the improvement of image processing algorithm. Through the installation and commissioning on actual production line, summarize and analyze the requirements of the hardware and software design for highly reflective aluminum plate, to achieve the control of product quality at present.

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.

Research on Rail Surface Defect Inspection System

2012 ◽  
Vol 229-231 ◽  
pp. 1389-1393
Author(s):  
Yu Hu ◽  
Jian Xu Mao ◽  
Jian Pin Mao
Keyword(s):  
High Speed ◽  
Surface Defect ◽  
Surface Defects ◽  
Imaging System ◽  
Detection System ◽  
Inspection System ◽  
System Control ◽  
Visual Imaging ◽  
Automatic Detection System ◽  
Rail Surface Defect

In order to realize the inspection of rail surface defects with high speed and high precision, an automatic detection system based on machine vision is presented. The hardware structure of the system consists of the mechanical system, control system and visual imaging system. The software structure using histogram threshold segmentation, multi-structural morphological edge detection and other image processing methods to detect and identify defects automatically, and also built the simulation rail detection platform. The experimental results show that the cracks, scars and other detects can be accurately detected and extracted in real time, and meet the requirement of the rail surface inspection.

Vacuum Casting Bubble Automatic Elimination System Based on on-Line Machine Vision Detection

2013 ◽  
Vol 670 ◽  
pp. 222-227
Author(s):  
Y.Y. Liu ◽  
Z.F. Chi ◽  
Q.X. Hu ◽  
Y. Yao ◽  
J. Huang
Keyword(s):  
Machine Vision ◽  
High Speed ◽  
Detection System ◽  
Ccd Camera ◽  
Casting Process ◽  
Integrated System ◽  
Edge Pixel ◽  
Vacuum Casting ◽  
Bubble Detection ◽  
On Line

Bubbles in vacuum casting process are dense, tiny and overlapped. The difference between bubbles and the background is so indistinct that makes bubble detection a great difficulty. Bubble elimination has become the main obstacle in the way of vacuum casting machine’s automation development. Bubble automatic detection is the base of bubble elimination. A machine vision bubble on-line detecting and eliminating platform is constructed, using industrial high-speed CCD camera and professional LED illumination. According to the features of vacuum casting bubbles, the edge pixel ratio algorithm is designed especially for vacuum casting bubble detection. The algorithm is realized using VC++ and Open CV. The integrated system proposed can detect and eliminate vacuum casting bubbles on-line automatically. As it’s confirmed, there is an obviously positive correlation between the edge pixel ratio and the bubble denseness. This detection system makes sense in vacuum casting bubble elimination.

In-Line Rolling of Aluminum Alloy Strip Cast by a High Speed Twin Roll Caster

2010 ◽  
Vol 654-656 ◽  
pp. 795-798 ◽  
Author(s):  
Ryoji Nakamura ◽  
Shuuya Hanada ◽  
Sinji Kumi ◽  
Hisaki Watari
Keyword(s):  
High Speed ◽  
Surface Defects ◽  
Rolling Speed ◽  
Rolled Strip ◽  
Ripple Mark ◽  
Strip Cast ◽  
Trace Line ◽  
Cold Rolled ◽  
Twin Roll Caster ◽  
Twin Roll

In-line rolling was operated on the as-cast strip cast by a vertical type high speed twin roll caster. The AA6022 and AA6111 strip was tested. The casting and rolling speed was 60m/min. Reduction was from 20% to 55%. The temperature of the rolling was within from 400oC to 450oC. The porosity and crack in the strip were improved by the in-line rolling. The in-line as rolled strip was cold rolled down to 1mm, and T4 heat treatment was operated. The microstructure of the strip, on which in-line rolling was operated, became uniform at thickness direction than the microstructure of the strip on which only the cold rolling was operated. The surface defects like the ripple mark and trace line of the nozzle were improved.

Hair Detection in Mushroom Based on Image Processing

2015 ◽  
Vol 713-715 ◽  
pp. 402-405
Author(s):  
Zhan Si Deng ◽  
Tong Qiang Li
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Feature Extraction ◽  
High Speed ◽  
Detection System ◽  
Target Identification ◽  
Accurate Method ◽  
Inspection System ◽  
Extraction Techniques ◽  
On Line

Nowadays,artificial recognition is widely used in the mushroom inspection system, however, it depends on subjective judgment of inspectors.Therefore,the testing personnel's experience, technology and other factors will affect the objectivity and accuracy of test results.Commodity inspection system need a high-speed, objective and accurate method for the on-line hair detection in the mushroom.On the basis of summary of domestic and foreign research, this paper studies the target identification and feature extraction techniques based on computer vision, conducts a feasibility study for the real-time hair detection system.

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