scholarly journals A New Approach to Spindle Radial Error Evaluation Using a Machine Vision System

2017 ◽  
Vol 24 (1) ◽  
pp. 201-219 ◽  
Author(s):  
C. Kavitha ◽  
S. Denis Ashok
Keyword(s):  
Machine Vision ◽  
Vision System ◽  
Processing System ◽  
Dimensional Accuracy ◽  
New Approach ◽  
Master Cylinder ◽  
Radial Error ◽  
Spindle Rotation ◽  
Least Squares Curve Fitting ◽  
Fourier Series Analysis

AbstractThe spindle rotational accuracy is one of the important issues in a machine tool which affects the surface topography and dimensional accuracy of a workpiece. This paper presents a machine-vision-based approach to radial error measurement of a lathe spindle using a CMOS camera and a PC-based image processing system. In the present work, a precisely machined cylindrical master is mounted on the spindle as a datum surface and variations of its position are captured using the camera for evaluating runout of the spindle. TheCircular Hough Transform(CHT) is used to detect variations of the centre position of the master cylinder during spindle rotation at subpixel level from a sequence of images. Radial error values of the spindle are evaluated using the Fourier series analysis of the centre position of the master cylinder calculated with the least squares curve fitting technique. The experiments have been carried out on a lathe at different operating speeds and the spindle radial error estimation results are presented. The proposed method provides a simpler approach to on-machine estimation of the spindle radial error in machine tools.

scholarly journals An Automatic Machine Vision-Guided System for the Propagation of Potato Test-Tube Plantlets

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Xu Shengyong ◽  
Peng Biye ◽  
Wu Haiyang ◽  
Li Fushuai ◽  
Cai Xingkui ◽  
...  
Keyword(s):  
Image Processing ◽  
Machine Vision ◽  
Vision System ◽  
Image Acquisition ◽  
Processing System ◽  
Test Tube ◽  
Automatic Machine ◽  
Node Point ◽  
Acquisition Device ◽  
Image Acquisition Device

In manually propagating potato test-tube plantlets (PTTPs), the plantlet is usually grasped and cut at the node point between the cotyledon and stem, which is hardly located and is easily damaged by the gripper. Using an agricultural intelligent robot to replace manual operation will greatly improve the efficiency and quality of the propagation of PTTPs. An automatic machine vision-guided system for the propagation of PTTPs was developed and tested. In this paper, the workflow of the visual system was designed and the image acquisition device was made. Furthermore, the image processing algorithm was then integrated with the image acquisition device in order to construct an automatic PTTP propagation vision system. An image processing system for locating a node point was employed to determine a suitable operation point on the stem. A binocular stereo vision algorithm was applied to compute the 3D coordinates of node points. Finally, the kinematics equation of the three-axis parallel manipulator was established, and the three-dimensional coordinates of the nodes were transformed into the corresponding parameters X, Y, and Z of the three driving sliders of the manipulator. The experimental results indicated that the automatic vision system had a success rate of 98.4%, 0.68 s time consumed per 3 plants, and approximate 1 mm location error in locating the plantlets in an appropriate position for the medial expansion period (22 days).

Embedded Machine Vision System Design Based on Davinci DM355

2013 ◽  
Vol 300-301 ◽  
pp. 729-734
Author(s):  
Hong Rui Ma ◽  
Jian Xian Cai ◽  
Rui Hong Yu
Keyword(s):  
Machine Vision ◽  
Low Power ◽  
Vision System ◽  
Processing System ◽  
Machine Vision System ◽  
Processor Core ◽  
Digital Multimedia ◽  
Development Platform ◽  
Vision Processing ◽  
Risc Processor

Most existing machine vision processing system is 8-bit or 16-bit processor control system, complex algorithms and multi-tasking of the vision system have been severely constrained. DaVinci DM355 integrated ARM926 RISC processor core and specialized image processor is a programmable DMSoC development platform with digital multimedia codecs, high integration, low-power consumption. The machine vision system based on DaVinci DM355 development goal is to establish a low-power hardware development board based on the DaVinci DM355, transplant Linux operating system based on the hardware board and develop corresponding driver.This will provide the basis for the realization of complex algorithm and multitasking system for machine vision system.

Development and Design of Smart-Robot Image Transmission and Processing System Based on On-Line Control

2014 ◽  
Vol 602-605 ◽  
pp. 813-816
Author(s):  
Lin Cai
Keyword(s):  
Machine Vision ◽  
Vision System ◽  
Rapid Development ◽  
Processing System ◽  
Image Transmission ◽  
Network Control ◽  
Research Network ◽  
Network Technology ◽  
Motion Feature ◽  
Robot Technology

With the rapid development of network technology, communication technology and multimedia technology, and robot technology is getting mature, network control robot system has gradually become a main direction of current robot research. Network based robot refers to the public through the network and the control operation of the robot Shi Yuancheng. Study on the idea of network robot is the network technology and robot technology integration together, through the network to control the robot. In the network of the robot, machine vision plays a more and more important role. To a strange environment of robot control, observed the function of an image. Machine vision can not only according to the characteristics of image recognition, robot path, but also can provide visual understanding of the observation space to strange environment and to control the robot. It is also belongs to the field of robot visual category for image transmission and processing technology on the essence of robot network control. The vision system of robot is a machine vision system, refers to the use of computer to realize the vision function of the people, is to use computer to achieve the objective of 3D world understanding.[5] The so-called three-dimensional understanding refers to the observed object shape, size, texture and motion feature distance, leaving on the understanding of the concept of robot design.

Edible Bird Nest Processing using Machine Vision and Robotic Arm

2015 ◽  
Vol 72 (2) ◽  
Author(s):  
Yuvarajoo Subramaniam ◽  
Yeong Che Fai ◽  
Eileen Su Lee Ming
Keyword(s):  
Machine Vision ◽  
Large Scale ◽  
Vision System ◽  
Industrial Robot ◽  
Processing System ◽  
Food Product ◽  
Cost Effective ◽  
Automated System ◽  
Scale Production ◽  
Bird Nest

Edible Bird nest food product is one of the demanding food product in food production industry. Government looking into ways to improve this industry to boost the economy. Many large scale production are being operated around Malaysia. One of the major difficulties faced in processing the bird nest is to remove its impurities or more formerly known as dirt. Current conventional cleaning method which is manual cleaning is not cost effective and time consuming. Furthermore, it also requires large number of workforce to be used for processing small quantities of bird nest. This paper presents an automated system which utilizes machine vision system and an industrial robot to accomplish a better processing system for edible bird nest. This system offers great advantage compared to conventional process by reducing the time consumed for processing and increase the efficiency.

Multifunctional stereoscopic machine vision system with multiple 3D outputs

2020 ◽  
Keyword(s):  
Machine Vision ◽  
International Symposium ◽  
Fast Track ◽  
Vision System ◽  
Machine Vision System ◽  
Stereoscopic Displays ◽  
Electronic Imaging

Fast track article for IS&T International Symposium on Electronic Imaging 2020: Stereoscopic Displays and Applications proceedings.

scholarly journals A real-time machine-vision system for monitoring the textile raising process

2005 ◽  
Vol 56 (8-9) ◽  
pp. 831-842 ◽  
Author(s):  
Monica Carfagni ◽  
Rocco Furferi ◽  
Lapo Governi
Keyword(s):  
Machine Vision ◽  
Real Time ◽  
Vision System ◽  
Machine Vision System ◽  
Time Machine

scholarly journals The grades and freshness assessment of eggs based on density detection using machine vision and weighing sensor

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Supakorn Harnsoongnoen ◽  
Nuananong Jaroensuk
Keyword(s):  
Machine Vision ◽  
Vision System ◽  
Low Cost ◽  
Measuring System ◽  
Coefficient Of Determination ◽  
Water Displacement ◽  
Non Invasive ◽  
Future Potential ◽  
Non Destructive ◽  
Egg Freshness

AbstractThe water displacement and flotation are two of the most accurate and rapid methods for grading and assessing freshness of agricultural products based on density determination. However, these techniques are still not suitable for use in agricultural inspections of products such as eggs that absorb water which can be considered intrusive or destructive and can affect the result of measurements. Here we present a novel proposal for a method of non-destructive, non-invasive, low cost, simple and real—time monitoring of the grading and freshness assessment of eggs based on density detection using machine vision and a weighing sensor. This is the first proposal that divides egg freshness into intervals through density measurements. The machine vision system was developed for the measurement of external physical characteristics (length and breadth) of eggs for evaluating their volume. The weighing system was developed for the measurement of the weight of the egg. Egg weight and volume were used to calculate density for grading and egg freshness assessment. The proposed system could measure the weight, volume and density with an accuracy of 99.88%, 98.26% and 99.02%, respectively. The results showed that the weight and freshness of eggs stored at room temperature decreased with storage time. The relationship between density and percentage of freshness was linear for the all sizes of eggs, the coefficient of determination (R2) of 0.9982, 0.9999, 0.9996, 0.9996 and 0.9994 for classified egg size classified 0, 1, 2, 3 and 4, respectively. This study shows that egg freshness can be determined through density without using water to test for water displacement or egg flotation which has future potential as a measuring system important for the poultry industry.

Application of Machine Vision System in the Precision Inspection

2012 ◽  
Vol 546-547 ◽  
pp. 1382-1386
Author(s):  
Yin Xia Liu ◽  
Ping Zhou
Keyword(s):  
Machine Vision ◽  
Vision System ◽  
Machine Vision System ◽  
Technical Problems ◽  
Application Program ◽  
Precision Inspection ◽  
Machine Parts

In order to promote the application and development of machine vision, The paper introduces the components of a machine vision system、common lighting technique and machine vision process. And the key technical problems are also briefly discussed in the application. A reference idea for application program of testing the quality of the machine parts is offered.

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