Research and Development of Integral Test System for Transformer Calibrator Based on Machine Vision and Servo Control

2018 ◽  
Author(s):  
Yanling Sun ◽  
Xiaohui Zhai ◽  
Yuhan He ◽  
Yanfeng Sun ◽  
Yu Xing ◽  
...  
Keyword(s):  
Machine Vision ◽  
Research And Development ◽  
Test System ◽  
Servo Control ◽  
Integral Test

The Research and Development of Automotive Switches Test System Based on LabVIEW

2013 ◽  
Vol 748 ◽  
pp. 681-684
Author(s):  
Yin Han Gao ◽  
Rui Min Zhou ◽  
Kai Yu Yang ◽  
Bing Song
Keyword(s):  
Research And Development ◽  
Virtual Instrument ◽  
Test System ◽  
Test Results ◽  
Noise Interference ◽  
Interference Signals ◽  
Design Software ◽  
Test And Control System ◽  
And Control ◽  
System Designs

This article describes the research and development of automatic switch test and control system. It introduces the hardware structure of the test system, designs and builds the signal conditioning circuit. Applying of virtual instrument design software to achieve the purpose of control the system, and acquisition and processing of test data. And take some effective measures to curb the noise interference signals. The experimental results show that the system can fulfill accurately online monitoring for the parameters in the test process. The test results can be used as a standard to determine whether the switch qualified.

Machine-Vision-Based Servo Control of a Robotic Sewing System

2012 ◽  
Vol 9 (1) ◽  
pp. 45-49 ◽  
Author(s):  
Chao-Ching Ho ◽  
Tsung-Ring Tsai
Keyword(s):  
Machine Vision ◽  
Servo Control

Research on the Automatic Test System of Bus Dashboard Function Based on Machine Vision

2014 ◽  
Vol 621 ◽  
pp. 378-384
Author(s):  
Rong Xing Guo ◽  
Jie Wang ◽  
Peng Ge Ma
Keyword(s):  
Machine Vision ◽  
Network Architecture ◽  
Detection Algorithm ◽  
Test System ◽  
Automatic Identification ◽  
Automatic Test ◽  
Still Images ◽  
Real Time Processing ◽  
Automatic Test System ◽  
Working Principle

This paper studies the automatic test system of bus dashboard EOL (end of line) based on machine vision. Based on machine vision theory, Identification and detection algorithm of panel signal indicator elements and tachometer pointer readings was studied combining single-frame still images and real-time processing of color video image, the automatic parallel detection of multiple dashboard was realized by distributed network architecture. This paper first describes the function requirements, the overall composition and working principle of automatic test system. Then, it proposes an automatic identification and detection algorithm of dashboard symbol sheets and pointer position. Finally, it shows the designing of automatic test software with a self-learning and auto-detection function, and describes the working process of the software. The tests prove that the system is capable of realizing fast and accurate auto-test of bus dashboard functions based on the non-contact of machine vision, which improves the overall efficiency of the bus dashboard line.

scholarly journals Research on Intelligent Identification of Pivoting Center and Smooth Processing of Test Data for Flying Flexible Joint

2021 ◽  
Vol 15 ◽  
Author(s):  
Yue-bing Wen ◽  
Jian-ping Tan
Keyword(s):  
Machine Vision ◽  
Image Data ◽  
Smooth Curve ◽  
Sampling Interval ◽  
Test System ◽  
Measuring System ◽  
Flexible Joint ◽  
Straight Line ◽  
Processing Module ◽  
The Mathematical Model

In this paper, a method of intelligent identification and data smooth processing of flying flexible joint pivoting center based on machine vision is proposed. The intelligent identification is realized by the following process: first of all the geometric center of the two markers attached to the flying body is located on a straight line at a certain angle to the center-line of the measured pivoting body, secondly then continuous image sampling is carried out by industrial camera when the marker swings with the pivoting body, and image data is transmitted through a data interface to an industrial computer, Finally the image processing module de-noises the image, removes the background and locates the markers to obtain the plane coordinates of the markers in the coordinate system of the test system. The data smooth of obtained coordinates is carried outby Matlab software including the following steps: the coordinates of the mark points detected based on machine vision are optimized to obtain the smooth curve by fitting of the parabola and arc. Then the coordinates of the points on the curve are used to optimize the coordinates of the marked points from measurement. The optimized coordinate values are substituted into the calculation module of pivoting center, so the average pivoting center of the sampling interval of two images is calculated according to the mathematical model to approach the instantaneous pivoting center during the motion of the pivoting body. The result processing module displays and records the curve of pivoting center shift directly and effectively. Finally, it is validated by simulation and experiments that the precision of pivoting center measured by such measuring system is ~0.5%.

Sign in / Sign up

Export Citation Format

Share Document