Fast 3D Surface Measurement Using Elastomeric Imaging
Tracks
NDT Methods
| Wednesday, October 23, 2024 |
| 4:00 PM - 4:30 PM |
| 209/210 - Technical Session |
Details
Rapid characterization of surface topography has many applications across non-destructive testing from quantifying corrosion and wear patterns to measuring dimensions of surface discontinuities to inform a repair process. Traditional systems for micron-scale area measurements, including optical microscopy, confocal microscopy, and others, are confined to a lab and typically require expertise to operate correctly. GelSight technology uses a novel technique known as elastomeric imaging to capture high-resolution surface topography quickly without any influence from the reflective properties of the material being measured. This measurement modality combined with statistical methods, such as surface roughness and other surface parameters, can provide a quick assessment of surface integrity to inform repair or replace decisions and provide insight surface condition. GelSight systems are handheld and can be used out in the field or on the factory floor at the location where the condition is observed. Additionally, the high-resolution digital data from the system can be mined and used as training data for modern machine learning algorithms leading to predictive maintenance processes. This presentation describes the benefits of elastomeric imaging, shows results from real-world applications and discusses how the technology is complementary to existing non-destructive testing methods.
Speaker
Kimo Johnson
Chief Science Officer
Gelsight, Inc.
Fast 3D Surface Measurement Using Elastomeric Imaging
Presentation Description
Rapid characterization of surface topography has many applications across non-destructive testing from quantifying corrosion and wear patterns to measuring dimensions of surface discontinuities to inform a repair process. Traditional systems for micron-scale area measurements, including optical microscopy, confocal microscopy, and others, are confined to a lab and typically require expertise to operate correctly. GelSight technology uses a novel technique known as elastomeric imaging to capture high-resolution surface topography quickly without any influence from the reflective properties of the material being measured. This measurement modality combined with statistical methods, such as surface roughness and other surface parameters, can provide a quick assessment of surface integrity to inform repair or replace decisions and provide insight surface condition. GelSight systems are handheld and can be used out in the field or on the factory floor at the location where the condition is observed. Additionally, the high-resolution digital data from the system can be mined and used as training data for modern machine learning algorithms leading to predictive maintenance processes. This presentation describes the benefits of elastomeric imaging, shows results from real-world applications and discusses how the technology is complementary to existing non-destructive testing methods.
Biography
Kimo Johnson is a Co-Founder and the Chief Science Officer at GelSight, Inc., a startup company focused on commercializing a high-resolution tactile sensor developed at MIT. Before leaving academia to start GelSight, Dr. Johnson was a Research Scientist at MIT where he published numerous papers in leading conferences and journals on computer vision and graphics. Dr. Johnson holds undergraduate degrees in Mathematics and Music Theory, a master’s degree in Electro-Acoustic Music, and a Ph.D. in Computer Science from Dartmouth College.
