Embedded Vision Positioning System Based on ARM Processor

2012 ◽  
pp. 30-46
Keyword(s):  
Positioning System ◽  
Embedded Vision ◽  
Arm Processor ◽  
Vision Positioning

Development of Machine Vision Positioning System of Magnetorheological Fluid (MRF) Actuator

2013 ◽  
Vol 470 ◽  
pp. 625-629
Author(s):  
A.B. Husaini ◽  
Ghazali Izzat ◽  
Samad Zahurin ◽  
Othman Rusli
Keyword(s):  
Machine Vision ◽  
Vision System ◽  
Low Cost ◽  
Feedback System ◽  
Magnetorheological Fluid ◽  
Fast Response ◽  
Positioning System ◽  
Machine Vision System ◽  
Vision Positioning ◽  
Magnetorheological Valve

Magnetorheological valve offers several advantages such as controllability, small in size and no moving part during operation. Thus, many researchers are working on developing an actuator based on this valve. However, this actuator required feedback system to improve it precision. This research is focusing on developing of machine vision based positioning system for MRF actuator. Image processing algorithms coded using Matlab software and directly connect to MRF valve controller. As a result, the system shows a fast response with processing time only 0.6 millisecond, system resolution is 0.1 millimeter and finally repeatability is 0.01. As a conclusion, the machine vision system are applicable for MRF actuator positioning system. This study is significant in order to developing a low cost and robust positioning system.

Calibration of computer vision positioning system for MEMS wire bonder

2007 ◽  
Author(s):  
Junlan Li ◽  
Yizhong Wang ◽  
Xingyu Zhao ◽  
Fanzhi Kong ◽  
Dawei Zhang
Keyword(s):  
Computer Vision ◽  
Positioning System ◽  
Vision Positioning

scholarly journals Research on Body Positioning Measurement Method of Bolting Robot based on Vision Theory

2021 ◽  
Author(s):  
Xuedi Hao ◽  
Xueqiang Yang ◽  
Jinglin Zhang ◽  
Yaotian Ding ◽  
Miao Wu
Keyword(s):  
Real Time ◽  
Image Data ◽  
Monocular Vision ◽  
Vehicle Body ◽  
Positioning System ◽  
System Transformation ◽  
Time Data ◽  
Experimental Conditions ◽  
Vision Positioning ◽  
Body Positioning

Abstract In view of the intelligent demand of underground roadway support and the precise positioning of underground unmanned fully mechanized face, a method of body positioning measurement of bolting robot based on the principle of monocular vision is proposed. In this paper, a vehicle body positioning model based on image data is established. The data is obtained by camera, and the transformation between image coordinates and world coordinates is completed by coordinate system transformation. The monocular vision positioning system of bolting robot is designed, and the simulation experimental model is built to measure the effective positioning distance of monocular vision positioning system in the simulation experimental conditions. The experimental platform of bolting robot is designed, and the vehicle is measured Real time data of body positioning, analysis of experimental error and demonstration of reliability of the method. In this method, the real-time localization of underground mine is realized by the robot of bolting, and the accuracy and efficiency of localization are improved, which lays the foundation for the localization control of mining face and the automation and unmanned of the robot of bolting.

Automated vision positioning system for dicing semiconductor chips using improved template matching method

2018 ◽  
Vol 100 (9-12) ◽  
pp. 2669-2678 ◽  
Author(s):  
Fengjun Chen ◽  
Xiaoqi Ye ◽  
Shaohui Yin ◽  
Qingshan Ye ◽  
Shuai Huang ◽  
...  
Keyword(s):  
Template Matching ◽  
Positioning System ◽  
Matching Method ◽  
Vision Positioning ◽  
Semiconductor Chips
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