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.

scholarly journals Automatic Assembly of Bolts and Nuts Based on Machine Vision Recognition

2021 ◽  
Vol 2113 (1) ◽  
pp. 012033
Author(s):  
Haocheng He
Keyword(s):  
Computer Vision ◽  
Production Line ◽  
Recognition System ◽  
Automatic Assembly ◽  
Robot Arm ◽  
Accuracy Improvement ◽  
Automatic Production ◽  
Computer Vision Technology ◽  
Automatic Production Line ◽  
Pixel Scale

Abstract In this study, based on the computer vision technology, we developed a recognition system for nuts positioning to complete the automatic bolt assembly part of the automatic production line. The actual image of the nut was captured by an industrial camera, which would be processed by the following edge detection and Hough circle transformation. After that, the coordinates of the nuts were obtained in the pixel scale. Finally, the real position of nuts would be fed back to the robot arm, according to which the automatic assembly of the bolt would be completed. This computer vision based recognition system is an indispensable part for the efficiency and accuracy improvement of automatic production line.

Design of Automatic Assembly System of Saw Chain

2011 ◽  
Vol 141 ◽  
pp. 239-243
Author(s):  
Ze Xin Ding ◽  
Feng Yuan ◽  
Jun Zhu
Keyword(s):  
Poor Quality ◽  
Assembly System ◽  
Positioning System ◽  
Assembly Process ◽  
Automatic Assembly ◽  
Assembly Quality ◽  
Assembly Method ◽  
Low Efficiency

The automatic assembly system of saw chain is designed to solve the low efficiency and poor quality of its assembly process according to the actual requirements of production. Firstly, the structure of saw chain and its automatic assembly requirements are analysed. Secondly, the different design plans on assembly process and assembly method are proposed and compared. Finally, the automatic assembly system of saw chain is designed, which is composed of feeding device and clamp positioning system. This system can not only realize the automatic assembly of saw chain, but also improve the assembly quality and prolong the using life of saw chain.

The Automatic Assembly Technology of Standard Mold Base Based on UG

2012 ◽  
Vol 482-484 ◽  
pp. 2265-2269
Author(s):  
Ze Hao Hu ◽  
Juan Liu ◽  
Kun Liu ◽  
Nan Wang
Keyword(s):  
Product Development ◽  
Product Design ◽  
Assembly System ◽  
Automatic Assembly ◽  
Design And Development ◽  
Development Cycle ◽  
Assembly Technology ◽  
Open Api ◽  
Product Development Cycle

Abstract: In order to realize the function of automatic assembly of the standard mold base, simultaneously, realize the intelligence and automation of products, the automatic assembly system is analyzed and researched, the design and development of the automatic assembly are completed and the executable files are exported through the function provided by the tool of UG/Open API, which make the mold automatic assembly realistic, the structure of product design and assembly optimized, the product development cycle shortened and the efficiency and accuracy of assembly improved.

Modern Technology for Image processing and Computer vision -A Review

2018 ◽  
Vol 1 (2) ◽  
pp. 17-23
Author(s):  
Takialddin Al Smadi
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Augmented Reality ◽  
Video Compression ◽  
Video Processing ◽  
Vision System ◽  
Citrus Fruit ◽  
Modern Technology ◽  
Image And Video Processing ◽  
Depth Video

This survey outlines the use of computer vision in Image and video processing in multidisciplinary applications; either in academia or industry, which are active in this field.The scope of this paper covers the theoretical and practical aspects in image and video processing in addition of computer vision, from essential research to evolution of application.In this paper a various subjects of image processing and computer vision will be demonstrated ,these subjects are spanned from the evolution of mobile augmented reality (MAR) applications, to augmented reality under 3D modeling and real time depth imaging, video processing algorithms will be discussed to get higher depth video compression, beside that in the field of mobile platform an automatic computer vision system for citrus fruit has been implemented ,where the Bayesian classification with Boundary Growing to detect the text in the video scene. Also the paper illustrates the usability of the handed interactive method to the portable projector based on augmented reality.   © 2018 JASET, International Scholars and Researchers Association

Algorithms for segmentation and recognition of objects on medical images based on chiarlet transformation and neural networks

2020 ◽  
pp. 35-45
Author(s):  
Y.A. Hamad ◽  
K.V. Simonov ◽  
A.S. Kents
Keyword(s):  
Neural Networks ◽  
Image Processing ◽  
Computer Vision ◽  
Edge Detection ◽  
Medical Images ◽  
Classification Algorithms ◽  
Visual Data ◽  
Recognition Of Objects

The paper considers general approaches to image processing, analysis of visual data and computer vision. The main methods for detecting features and edges associated with these approaches are presented. A brief description of modern edge detection and classification algorithms suitable for isolating and characterizing the type of pathology in the lungs in medical images is also given.

Automatic Assembly System of Strain Gauge Based on Deviation Model

ROBOT ◽  
2013 ◽  
Vol 35 (5) ◽  
pp. 589
Author(s):  
Dechun ZHENG ◽  
Yongping ZHANG ◽  
Guojun LI
Keyword(s):  
Strain Gauge ◽  
Assembly System ◽  
Automatic Assembly

Computer Vision and robotics in postal automation

1999 ◽  
Vol 18 (3-4) ◽  
pp. 265-273
Author(s):  
Giovanni B. Garibotto
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Pattern Recognition ◽  
Material Handling ◽  
State Of The Art ◽  
Short Description ◽  
The Other ◽  
Functional Requirements ◽  
Postal Automation ◽  
And Robotics

The paper is intended to provide an overview of advanced robotic technologies within the context of Postal Automation services. The main functional requirements of the application are briefly referred, as well as the state of the art and new emerging solutions. Image Processing and Pattern Recognition have always played a fundamental role in Address Interpretation and Mail sorting and the new challenging objective is now off-line handwritten cursive recognition, in order to be able to handle all kind of addresses in a uniform way. On the other hand, advanced electromechanical and robotic solutions are extremely important to solve the problems of mail storage, transportation and distribution, as well as for material handling and logistics. Finally a short description of new services of Postal Automation is referred, by considering new emerging services of hybrid mail and paper to electronic conversion.

scholarly journals Clay-Based Brick Porosity Estimation Using Image Processing Techniques

2019 ◽  
Vol 29 (1) ◽  
pp. 1226-1234
Author(s):  
Safa Jida ◽  
Hassan Ouallal ◽  
Brahim Aksasse ◽  
Mohammed Ouanan ◽  
Mohamed El Amraoui ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Image Processing ◽  
Scanning Electron Microscopy ◽  
Computer Vision ◽  
Image Processing Techniques ◽  
Processing Techniques ◽  
Porosity Estimation ◽  
Microscopy Images ◽  
Scanning Electron

Abstract This work intends to apprehend and emphasize the contribution of image-processing techniques and computer vision in the treatment of clay-based material known in Meknes region. One of the various characteristics used to describe clay in a qualitative manner is porosity, as it is considered one of the properties that with “kill or cure” effectiveness. For this purpose, we use scanning electron microscopy images, as they are considered the most powerful tool for characterising the quality of the microscopic pore structure of porous materials. We present various existing methods of segmentation, as we are interested only in pore regions. The results show good matching between physical estimation and Voronoi diagram-based porosity estimation.

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