Three-dimensional microscope vision system based on micro laser line scanning and adaptive genetic algorithms

2017 ◽  
Vol 385 ◽  
pp. 1-8 ◽  
Author(s):  
J. Apolinar ◽  
Muñoz Rodríguez
Keyword(s):  
Genetic Algorithms ◽  
Vision System ◽  
Three Dimensional ◽  
Laser Line ◽  
Adaptive Genetic Algorithms ◽  
Line Scanning

Microscope vision system based on micro laser line scanning for characterizing microscale topography

2020 ◽  
Vol 59 (13) ◽  
pp. D189 ◽  
Author(s):  
Francisco Carlos Mejía Alanís ◽  
J. Apolinar Muñoz Rodriguez
Keyword(s):  
Vision System ◽  
Laser Line ◽  
Line Scanning

Modified adaptive genetic algorithms for solving 0/1 knapsack problems

2013 ◽  
Vol 32 (6) ◽  
pp. 1682-1684
Author(s):  
Na WANG ◽  
Feng-hong XIANG ◽  
Jian-lin MAO
Keyword(s):  
Genetic Algorithms ◽  
Knapsack Problems ◽  
Adaptive Genetic Algorithms

Automatic weaving method for three-dimensional composite preforms using vision system

2021 ◽  
pp. 004051752098238
Author(s):  
Siyuan Li ◽  
Zhongde Shan ◽  
Dong Du ◽  
Li Zhan ◽  
Zhikun Li ◽  
...  
Keyword(s):  
Relative Position ◽  
Vision System ◽  
Estimation Error ◽  
Three Dimensional ◽  
Fiber Reinforced Composites ◽  
Accurate Estimation ◽  
Digital Manufacturing ◽  
Relative Rotation ◽  
Reinforced Composites ◽  
Main Structure

Three-dimensional composite preform is the main structure of fiber-reinforced composites. During the weaving process of large-sized three-dimensional composite preform, relative rotation or translation between the fiber feeder and guided array occurs before feeding. Besides, the weaving needles can be at different heights after moving out from the guided array. These problems are mostly detected and adjusted manually. To make the weaving process more precise and efficient, we propose machine vision-based methods which could realize accurate estimation and adjustment of the relative position-pose between the fiber feeder and guided array, and make the needles pressing process automatic by recognizing the position of the weaving needles. The results show that the estimation error of relative position-pose is within 5%, and the rate of unrecognized weaving needles is 2%. Our proposed methods improve the automation level of weaving, and are conducive to the development of preform forming toward digital manufacturing.

Model-Based Three-Dimensional Vision System

1989 ◽  
Author(s):  
Keiichi Kemmotsu ◽  
Yuichi Sasano ◽  
Katsumi Oshitani
Keyword(s):  
Vision System ◽  
Three Dimensional ◽  
Model Based ◽  
Three Dimensional Vision
Sign in / Sign up

Export Citation Format

Share Document