Grants and Contributions:

Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019).

Coordinate metrology is the main inspection method for product or process control in various manufacturingx000D
systems today. The accuracy and reliability of inspection directly affect the quality of products or processes, thex000D
rate of failure, and the production waste. Recent developments in optical coordinate metrology allows fastx000D
capturing of large amount of 3D data points from the surface of the measured objects which is highly desiredx000D
for dynamic measurements in automated production lines. However, the accuracy of measurement data highlyx000D
depends on various sources of noises during the surface scanning process. The noisy points in the scannedx000D
point cloud increase the amount of uncertainty at different areas in the 3D point cloud, which affects thex000D
robustness of the measurement. Additional challenges are encountered when the texture of scanned surfaces arex000D
highly reflective. As there is no prior knowledge of how the noise is distributed in the point cloud, the optimumx000D
determination of model parameters is often a difficult and challenging process. This project investigates anx000D
approach to improve the reliability and accuracy of the measurement by determining the number and locationx000D
of surface measurement points. It aims to find a solution for the planar surfaces and flatness evaluation becausex000D
the flat surfaces and patches are the most common geometric features in various manufacturing products.x000D
Bluewrist Inc. is a Canadian - based company focused on automated measurement and production qualityx000D
control systems who primarily services the advanced manufacturing sectors. Bluewrist's main product includex000D
in-line dimensional measurement systems, robotic guidance system, and automation engine andx000D
communication software. This project allows Bluewirst to develop a more reliable platform for coordinatex000D
metrology and 3D scanning that can be implemented in their automated coordinate metrology products andx000D
services to its clients. This research will assist Bluewrist to develop customized methodologies to reduce thex000D
level of metrology uncertainty for various Canadian industrial sectors. It will also have a direct impact onx000D
training of highly qualified personnel who can become the leaders of Canada's future metrology industry.