New Global Referencing Approach in a Camera-LCD Micro Positioning System

In any precision manufacturing process, positioning systems play a very important role in achieving a quality product. As a new approach to current systems, camera-LCD positioning systems are a new technology that can provide substantial improvements enabling better accuracy and repeatability. Howev...

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Bibliographic Details
Main Authors: Óscar de Francisco Ortiz, Irene Ortiz, Antonio Bueno
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/20/7/2118
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spelling doaj-24613529fd6a4eaea25221a6bc41dfe52020-11-25T02:44:06ZengMDPI AGSensors1424-82202020-04-01202118211810.3390/s20072118New Global Referencing Approach in a Camera-LCD Micro Positioning SystemÓscar de Francisco Ortiz0Irene Ortiz1Antonio Bueno2Department of Engineering and Applied Technologies, University Center of Defense, San Javier Air Force Base, MDE-UPCT, 30720 Santiago de la Ribera, SpainDepartment of Science and Computer Science, University Center of Defense, San Javier Air Force Base, MDE-UPCT, 30720 Santiago de la Ribera, SpainDepartment of Geometry and Topology, University of Granada, 18071 Granada, SpainIn any precision manufacturing process, positioning systems play a very important role in achieving a quality product. As a new approach to current systems, camera-LCD positioning systems are a new technology that can provide substantial improvements enabling better accuracy and repeatability. However, in order to provide stability to the system a global positioning system is required. This paper presents an improvement of a positioning system based on the treatment of images on an LCD in which a new algorithm with absolute reference has been implemented. The method is based on basic geometry and linear algebra applied to computer vision. The algorithm determines the spiral center using an image taken at any point. Consequently, the system constantly knows its position and does not lose its reference. Several modifications of the algorithm are proposed and compared. The simulation and test of the algorithm provide an important improvement in the reliability and stability of the positioning system providing errors of microns for the calculation of the global position used by the algorithm.https://www.mdpi.com/1424-8220/20/7/2118accuracypattern recognitionpositioningartificial visionPrecision
collection DOAJ
language English
format Article
sources DOAJ
author Óscar de Francisco Ortiz
Irene Ortiz
Antonio Bueno
spellingShingle Óscar de Francisco Ortiz
Irene Ortiz
Antonio Bueno
New Global Referencing Approach in a Camera-LCD Micro Positioning System
Sensors
accuracy
pattern recognition
positioning
artificial vision
Precision
author_facet Óscar de Francisco Ortiz
Irene Ortiz
Antonio Bueno
author_sort Óscar de Francisco Ortiz
title New Global Referencing Approach in a Camera-LCD Micro Positioning System
title_short New Global Referencing Approach in a Camera-LCD Micro Positioning System
title_full New Global Referencing Approach in a Camera-LCD Micro Positioning System
title_fullStr New Global Referencing Approach in a Camera-LCD Micro Positioning System
title_full_unstemmed New Global Referencing Approach in a Camera-LCD Micro Positioning System
title_sort new global referencing approach in a camera-lcd micro positioning system
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2020-04-01
description In any precision manufacturing process, positioning systems play a very important role in achieving a quality product. As a new approach to current systems, camera-LCD positioning systems are a new technology that can provide substantial improvements enabling better accuracy and repeatability. However, in order to provide stability to the system a global positioning system is required. This paper presents an improvement of a positioning system based on the treatment of images on an LCD in which a new algorithm with absolute reference has been implemented. The method is based on basic geometry and linear algebra applied to computer vision. The algorithm determines the spiral center using an image taken at any point. Consequently, the system constantly knows its position and does not lose its reference. Several modifications of the algorithm are proposed and compared. The simulation and test of the algorithm provide an important improvement in the reliability and stability of the positioning system providing errors of microns for the calculation of the global position used by the algorithm.
topic accuracy
pattern recognition
positioning
artificial vision
Precision
url https://www.mdpi.com/1424-8220/20/7/2118
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