Co-ordinate Measurement Machine Using Computer Vision

Over the past 20 years, contactless measuring system application has grown significantly, especially in the area of coordinate measurement. The growing use of these systems in industry has increased interest in determining their correctness, particularly in research facilities. Fiducial markers are a promising development in contactless measurements, especially in dimensional metrology. In order to obtain accurate detection and measurement of the distance between circular objects, this research provides a sophisticated coordinate measuring system that uses ArUco markers and OpenCV. In order to ensure accurate measurements, it is imperative that the ArUco markers are used to confirm that objects are positioned correctly within the Region of Interest (ROI) and to maintain a constant distance. After this preliminary check, the system incorporates an Excel interface that is easy to use, enabling users to choose circles by hand using their x and y coordinates. Users can choose which circles to measure by selecting ’y’ for yes or ’n’ for no. The system will then determine the distance between the circles automatically. By combining the accuracy of automatic detection with the adaptability of manual selection, this method creates a measurement process that is both highly precise and flexible. The system’s usefulness for applications requiring precise spatial measurements across multiple sectors has been proven by comparing its performance with conventional manual approaches.

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Publication Details

Published
2025-03-05
DOI
https://doi.org/10.1109/esci63694.2025.10988393
Primary Topic
Image Processing Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Co-ordinate Measurement Machine Using Computer Vision

Dipti Sakhare, Sanjay Pujari, Pallavi Vijay Chavan, Abhijeet Deogirikar et al.
Image Processing Techniques and Applications
article

Co-ordinate Measurement Machine Using Computer Vision

Dipti Sakhare, Sanjay Pujari, Pallavi Vijay Chavan, Abhijeet Deogirikar, Divya Shewale
article en

Abstract

Over the past 20 years, contactless measuring system application has grown significantly, especially in the area of coordinate measurement. The growing use of these systems in industry has increased interest in determining their correctness, particularly in research facilities. Fiducial markers are a promising development in contactless measurements, especially in dimensional metrology. In order to obtain accurate detection and measurement of the distance between circular objects, this research provides a sophisticated coordinate measuring system that uses ArUco markers and OpenCV. In order to ensure accurate measurements, it is imperative that the ArUco markers are used to confirm that objects are positioned correctly within the Region of Interest (ROI) and to maintain a constant distance. After this preliminary check, the system incorporates an Excel interface that is easy to use, enabling users to choose circles by hand using their x and y coordinates. Users can choose which circles to measure by selecting ’y’ for yes or ’n’ for no. The system will then determine the distance between the circles automatically. By combining the accuracy of automatic detection with the adaptability of manual selection, this method creates a measurement process that is both highly precise and flexible. The system’s usefulness for applications requiring precise spatial measurements across multiple sectors has been proven by comparing its performance with conventional manual approaches.

Openalex Percentile: Top 86%
Image Processing Techniques and Applications
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Co-ordinate Measurement Machine Using Computer Vision — Dipti Sakhare, Sanjay Pujari, et al. · (2025) | TGRS Research Map | TGRS