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Shaft Diameter Measurement Using Structured Light Vision.

Siyuan Liu¹, Qingchang Tan², Yachao Zhang³

¹College of Mechanical Science and Engineering, Jilin University, Changchun 130022, China. siyuan12@mails.jlu.edu.cn.

Sensors (Basel, Switzerland)

|August 15, 2015

Summary

This summary is machine-generated.

This study introduces a structured light vision measurement method for precise shaft diameter measurement. The technique accurately determines shaft centers and diameters using a calibrated virtual plane projection.

Keywords:

image measurement shaft diameter structured light vision

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Area of Science:

Engineering
Metrology
Computer Vision

Background:

Accurate shaft diameter measurement is crucial in manufacturing and quality control.
Traditional methods may have limitations in speed, accuracy, or non-contact capabilities.

Purpose of the Study:

To present a novel method for measuring shaft diameters using structured light vision measurement.
To evaluate the accuracy and influencing factors of this new measurement technique.

Main Methods:

Calibrating a structured light measurement model.
Establishing a virtual plane perpendicular to the shaft axis.
Projecting the light stripe image onto the virtual plane.
Determining the shaft center by fitting the projected image under geometrical constraints.
Measuring shaft diameter using the determined center and projected image.

Main Results:

The method successfully measures shaft diameters.
Experimental evaluation assessed the measurement accuracy.
Analysis was performed on the effects of various factors on measurement outcomes.

Conclusions:

The structured light vision measurement method offers a viable approach for accurate shaft diameter determination.
Understanding the influence of different factors is key to optimizing measurement precision.