Simple laser vision sensor calibration for surface profiling applications
| Autor: | Adnane O. ElSoussi, Bassam A. Abu-Nabah, Abed ElRahman K. Al Alami |
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| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Computer science business.industry Mechanical Engineering Coordinate system Real-time computing ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology Laser Original equipment manufacturer Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials law.invention 020901 industrial engineering & automation law Vision sensor 0202 electrical engineering electronic engineering information engineering Profiling (information science) 020201 artificial intelligence & image processing Computer vision Artificial intelligence Electrical and Electronic Engineering business Visual testing |
| Zdroj: | Optics and Lasers in Engineering. 84:51-61 |
| ISSN: | 0143-8166 |
| DOI: | 10.1016/j.optlaseng.2016.03.024 |
| Popis: | Due to the relatively large structures in the Oil and Gas industry, original equipment manufacturers (OEMs) have been implementing custom-designed laser vision sensor (LVS) surface profiling systems as part of quality control in their manufacturing processes. The rough manufacturing environment and the continuous movement and misalignment of these custom-designed tools adversely affect the accuracy of laser-based vision surface profiling applications. Accordingly, Oil and Gas businesses have been raising the demand from the OEMs to implement practical and robust LVS calibration techniques prior to running any visual inspections. This effort introduces an LVS calibration technique representing a simplified version of two known calibration techniques, which are commonly implemented to obtain a calibrated LVS system for surface profiling applications. Both calibration techniques are implemented virtually and experimentally to scan simulated and three-dimensional (3D) printed features of known profiles, respectively. Scanned data is transformed from the camera frame to points in the world coordinate system and compared with the input profiles to validate the introduced calibration technique capability against the more complex approach and preliminarily assess the measurement technique for weld profiling applications. Moreover, the sensitivity to stand-off distances is analyzed to illustrate the practicality of the presented technique. |
| Databáze: | OpenAIRE |
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