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Enhanced Positioning Algorithm Using a Single Image in an LCD-Camera System by Mesh Elements' Recalculation and Angle

Óscar de Francisco Ortiz¹, Manuel Estrems Amestoy², Horacio T Sánchez Reinoso²

¹Department of Engineering and Applied Technologies, University Center of Defense, San Javier Air Force Base, MDE-UPCT, 30720 Santiago de la Ribera, Spain.

Materials (Basel, Switzerland)

|January 1, 2020

Summary

This study introduces a camera-LCD system for precise tool positioning and angular deviation measurement in micromachines. The method accurately determines tool position but shows high dispersion in angular deviation, requiring further development for error compensation.

Keywords:

accuracy image processing inverse conical perspective manufacturing systems mechatronics micromachines micromanufacturing position compensation position control

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Area of Science:

Mechanical Engineering
Robotics
Computer Vision

Background:

Micromachine systems require precise tool positioning and angular control.
Angular deviations are a primary source of errors and increase manufacturing costs in micromachining.

Purpose of the Study:

To present a camera-LCD screen positioning system for micromachines.
To measure both tool position and angular deviations of the tool axis.
To establish a foundation for compensating angular deviations in vision-based micromachining tools.

Main Methods:

Utilizes a camera-LCD screen system with a matrix of LEDs.
Reduces LED image to a single rectangle for photogrammetry analysis.
Employs inverse perspective computation to determine spatial coordinates and camera orientation.
Validates accuracy using a Coordinate Measurement Machine (CMM).

Main Results:

The method achieves good accuracy in determining the tool's central point position.
It provides accurate workpiece inclination relative to the LCD screen coordinate system.
High dispersion was observed in angular deviation measurements due to small angle approximations.

Conclusions:

The developed positioning system offers a reliable method for tool localization in micromachines.
While position accuracy is good, angular deviation measurement requires refinement.
This work serves as a crucial first step towards compensating for angular errors in vision-guided micromachining.