Information Assurance Robot Vision System Based on the Uneven Distribution Level in the Hand Orbit

2008 ◽  
Author(s):  
Yasuhiro Kagiyama ◽  
Takayuki Shiose ◽  
Hiroshi Kawakami ◽  
Osamu Katai
Keyword(s):  
Vision System ◽  
Information Assurance ◽  
Robot Vision ◽  
Uneven Distribution

Information Assurance Robot Vision System based on the Estimation of Search Strategy

2010 ◽  
Author(s):  
Y. Kagiyama ◽  
T. Shiose ◽  
H. Kawakami ◽  
O. Katai
Keyword(s):  
Search Strategy ◽  
Vision System ◽  
Information Assurance ◽  
Robot Vision

scholarly journals Industrial Robot Vision System

1983 ◽  
Vol 16 (20) ◽  
pp. 337-341
Author(s):  
V.M. Grishkin ◽  
F.M. Kulakov
Keyword(s):  
Vision System ◽  
Industrial Robot ◽  
Robot Vision

A Robot Vision System Based on Two-Dimensional Object-Oriented Models

1986 ◽  
Vol 16 (4) ◽  
pp. 582-589 ◽  
Author(s):  
Lorenz A. Schmitt ◽  
William A. Gruver ◽  
Assad Ansari
Keyword(s):  
Vision System ◽  
Robot Vision ◽  
Object Oriented ◽  
Two Dimensional ◽  
Dimensional Object

A self-learning robot vision system

1991 ◽  
Author(s):  
H. Kobayashi ◽  
K. Uchida ◽  
Y. Matsuzaki
Keyword(s):  
Vision System ◽  
Robot Vision ◽  
Self Learning

scholarly journals 3D Robot Vision System through 2D Shape Based Matching Using Gaussian Smoothing for Gluing Application

2018 ◽  
Vol 7 (4.33) ◽  
pp. 487
Author(s):  
Mohamad Haniff Harun ◽  
Mohd Shahrieel Mohd Aras ◽  
Mohd Firdaus Mohd Ab Halim ◽  
Khalil Azha Mohd Annuar ◽  
Arman Hadi Azahar ◽  
...  
Keyword(s):  
Template Matching ◽  
Shape Matching ◽  
Vision System ◽  
Recognition Rate ◽  
Three Dimensional ◽  
Robot Vision ◽  
Region Of Interest ◽  
Gaussian Smoothing ◽  
Detection Approach ◽  
Vision Algorithm

This investigation is solely on the adaptation of a vision system algorithm to classify the processes to regulate the decision making related to the tasks and defect’s recognition. These idea stresses on the new method on vision algorithm which is focusing on the shape matching properties to classify defects occur on the product. The problem faced before that the system required to process broad data acquired from the object caused the time and efficiency slightly decrease. The propose defect detection approach combine with Region of Interest, Gaussian smoothing, Correlation and Template Matching are introduced. This application provides high computational savings and results in better recognition rate about 95.14%. The defects occur provides with information of the height which corresponds by the z-coordinate, length which corresponds by the y-coordinate and width which corresponds by the x-coordinate. This data gathered from the proposed system using dual camera for executing the three dimensional transformation.  

The PUMA/VS-100 Robot Vision System

Robot Vision ◽  
1983 ◽  
pp. 313-323 ◽  
Author(s):  
Brian Carlisle ◽  
Scot Roth
Keyword(s):  
Vision System ◽  
Robot Vision

Robot/Vision System Calibrations in Automated Assembly

1991 ◽  
pp. 129-142
Author(s):  
F. G. King ◽  
G. V. Puskorius ◽  
F. Yuan ◽  
R. C. Meier ◽  
V. Jeyabalan ◽  
...  
Keyword(s):  
Vision System ◽  
Robot Vision ◽  
Automated Assembly
Sign in / Sign up

Export Citation Format

Share Document