On-Line Industrial 3D Measurement Techniques for Large Volume Objects

Ji Gui Zhu; S.H. Ye; Xue You Yang; Xing Hua Qu; C.J. Liu; B. Wu

doi:10.4028/www.scientific.net/KEM.295-296.423

Paper Titles

A Structured-Light-Based On-Line 3D Measurement System and Software Development
p.399

Effects of Key Parameters on the Performance of a New In-Process Optical Measurement Method
p.405

Anti-Vibration Characteristics of a Lateral Shear Interferometer for On-Machine Surface Measurement
p.411

Application of Wavelet Analysis for Online Measurement of Crude Oils
p.417

On-Line Industrial 3D Measurement Techniques for Large Volume Objects
p.423

Advances in Micro and Nano-Scale Surface Metrology
p.431

2D and 3D Surface Texture Comparisons Using Autocorrelation Functions
p.437

Spline Filters for Surface Texture Analysis
p.441

Web-Based Virtual Measurement, Analysis and Evaluation Software Development for 3D Surface Topography
p.447

HomeKey Engineering MaterialsKey Engineering Materials Vols. 295-296On-Line Industrial 3D Measurement Techniques for...

On-Line Industrial 3D Measurement Techniques for Large Volume Objects

Abstract:

Rapid progress in modern manufacturing demands for better measurement technique with on-line characteristics. This paper presents a systematic visual solution for on-line industrial 3D measurement. The solution comprises two parts, a multi-sensor visual inspecting station (MSVIS) and a digital close-range visual inspecting station (DCVIS). MSVIS is an integrated system with many sensors. It can meet the requirement of application with sparse measuring points distributed within a large volume. DCVIS only contains two digital cameras with one or more projectors. It has high relative accuracy and a small set up volume and is suitable for applications with dense measuring points. The combined use of MSVIS and DCVIS can provide a general solution for on-line industrial 3D measurement.

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Periodical:

Key Engineering Materials (Volumes 295-296)

Pages:

423-430

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.295-296.423

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Online since:

October 2005

Authors:

Ji Gui Zhu, S.H. Ye, Xue You Yang, Xing Hua Qu, C.J. Liu, B. Wu

Keywords:

On-Line Measurement, Calibration, Camera, Visual Inspection

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