scholarly journals Apply computer vision in GUI automation for industrial applications

2019 ◽  
Vol 16 (6) ◽  
pp. 7526-7545 ◽  
Author(s):  
Yung-Pin Cheng ◽  
◽  
Ching-Wei Li ◽  
Yi-Cheng Chen
Keyword(s):  
Computer Vision ◽  
Industrial Applications

Computer vision for industrial applications

1983 ◽  
Vol 2 (5) ◽  
pp. 130
Author(s):  
J.A. Losty ◽  
P.R. Watkins
Keyword(s):  
Computer Vision ◽  
Industrial Applications

Accelerated HOG+SVM for object recognition

2021 ◽  
Keyword(s):  
Computer Vision ◽  
Object Recognition ◽  
International Symposium ◽  
Fast Track ◽  
Industrial Applications ◽  
Electronic Imaging ◽  
Intelligent Robotics

Fast track article for IS&T International Symposium on Electronic Imaging 2021: Intelligent Robotics and Industrial Applications using Computer Vision 2021 proceedings.

Automatic Annotation of American Football Video Footage for Game Strategy Analysis

2021 ◽  
Keyword(s):  
Computer Vision ◽  
International Symposium ◽  
Fast Track ◽  
Industrial Applications ◽  
American Football ◽  
Automatic Annotation ◽  
Strategy Analysis ◽  
Video Footage ◽  
Electronic Imaging ◽  
Intelligent Robotics

Fast track article for IS&T International Symposium on Electronic Imaging 2021: Intelligent Robotics and Industrial Applications using Computer Vision proceedings.

Evaluating deep semi-supervised learning methods for computer vision applications

2021 ◽  
Keyword(s):  
Computer Vision ◽  
International Symposium ◽  
Supervised Learning ◽  
Fast Track ◽  
Industrial Applications ◽  
Learning Methods ◽  
Electronic Imaging ◽  
Computer Vision Applications ◽  
Intelligent Robotics

Fast track article for IS&T International Symposium on Electronic Imaging 2021: Intelligent Robotics and Industrial Applications using Computer Vision 2021 proceedings.

High-speed inline computational imaging for area scan cameras

2021 ◽  
Keyword(s):  
Computer Vision ◽  
International Symposium ◽  
High Speed ◽  
Fast Track ◽  
Industrial Applications ◽  
Computational Imaging ◽  
Electronic Imaging ◽  
Intelligent Robotics

Fast track article for IS&T International Symposium on Electronic Imaging 2021: Intelligent Robotics and Industrial Applications using Computer Vision 2021 proceedings.

Study on Pipelined Parallel Processing Architectures for Imaging and Computer Vision

2021 ◽  
pp. 75-95
Author(s):  
P. Suresh
Keyword(s):  
Magnetic Resonance Imaging ◽  
Image Processing ◽  
Computer Vision ◽  
Magnetic Resonance ◽  
Geographical Information Systems ◽  
Daily Life ◽  
Industrial Applications ◽  
Geographical Information ◽  
Satellite Television ◽  
Processing Architectures

In digital image processing, the noise detection and removal are very important tasks, since they have wide applications in all fields. In recent years, the logic fabric and routing FPGAs architecture provides customers with a number of advantages. In this chapter, the performance is analysed with different FPGA processors in terms of slices, LUTs, and BRAM utilization is studied. The implemented hardware architecture with digital images plays an important role in all daily life applications, industrial applications such as image recognition, computer tomography, satellite television, space imaging, magnetic resonance imaging, etc., and also in areas of research and technology of geographical information systems and astronomy.

Computer Vision Algorithm for Collision Detection in Case of Industrial Environment

2017 ◽  
Vol 1143 ◽  
pp. 200-203
Author(s):  
Florin Bogdan Marin ◽  
Ionel Petrea ◽  
Madalin Deacu
Keyword(s):  
Computer Vision ◽  
Collision Detection ◽  
Industrial Applications ◽  
Industrial Environment ◽  
Depth Images ◽  
Vision Algorithm ◽  
Fast Collision

This paper presents a computer vision algorithm for achieving fast collision detection. This paper presents a solution for a highly adaptable solution. The acquired depth images are used to calculate a possible collision with industrial machines. Using a robot model and marked cells on the floor any robot cinematic configurations can be checked for collisions with human detected in the workspace. The proposed approach is applicable to a variety of industrial applications where operators are under threat of accidents.

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