scholarly journals Computer Vision-enabled Human-Cyber-Physical Workstations Collaboration for Reconfigurable Assembly System

2020 ◽  
Vol 51 ◽  
pp. 565-570
Author(s):  
Shiquan Ling ◽  
Daqiang Guo ◽  
Tongda Zhang ◽  
Yiming Rong ◽  
George Q. Huang
Keyword(s):  
Computer Vision ◽  
Assembly System ◽  
Reconfigurable Assembly

Axiomatic Design of a Reconfigurable Assembly System for Primary Wing Structures

2014 ◽  
Vol 7 (2) ◽  
pp. 229-240 ◽  
Author(s):  
Thomas G. Jefferson ◽  
Svetan Ratchev ◽  
Richard Crossley
Keyword(s):  
Axiomatic Design ◽  
Assembly System ◽  
Wing Structures ◽  
Reconfigurable Assembly

Vision-Based Hand Tracking and Gesture Recognition for Augmented Assembly System

2008 ◽  
Vol 392-394 ◽  
pp. 1030-1036 ◽  
Author(s):  
Yue Ming Wu ◽  
Han Wu He ◽  
J. Sun ◽  
T. Ru ◽  
De Tao Zheng
Keyword(s):  
Computer Vision ◽  
Real Time ◽  
Gesture Recognition ◽  
Hand Tracking ◽  
Assembly System ◽  
Time Performance ◽  
Traditional Approaches

A real time hand tracking and gesture recognition approach which can deal with dynamic backgrounds is presented. This approach is based on computer vision. It segments hand from dynamic backgrounds using the color-based and appearance-based methods. Then, it locates the hand according to marker on the hand. Last, it recognizes the gesture based on geometry constraint of hand. In comparison with the traditional approaches, it provides a good real time performance, is easy to realize, does not require a stationary camera and is not sensitive with intensity different because its gesture recognition does not depend on the templates. Moreover, an augmented assembly system using the presented approach is described. The experiment result of the augmented assembly system demonstrated the effectiveness and robustness of our approach.

An Automatic Assembly Technology for Perforated Discs Based on Contour Optimized Hough Circle Transform

2013 ◽  
Vol 459 ◽  
pp. 297-303 ◽  
Author(s):  
Ce Shang ◽  
Guo Liang Tao
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Stepper Motor ◽  
Assembly System ◽  
Labor Intensity ◽  
Automatic Assembly ◽  
Detection Error ◽  
Automatic Production ◽  
Assembly Technology ◽  
Low Efficiency

Aiming at the low efficiency of handwork and high labor intensity, an automatic solution for perforated discs assembly is developed based on computer vision. This technology consists of the processes of material feeding, parts handling, circle detecting and assembling. The mechatronic structure includes the pneumatic elements and electric actuators that controlled by PLC and stepper motor drivers. This method has solved the problem of the large cost of human force since this product has a big industrial production. Meanwhile, a contour optimized Hough circle transform (CHCT) is proposed. It can overcome the standard Hough circle transform (HCT) s disadvantages, such as redundant calculation and probability of failures. It enhances the reliability in order to satisfy the demand of industrial automatic production. The image processing takes only about 60ms and reaches 100% success rate with a small detection error. This method also has the generality for the similar assembly system based on machine vision.

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