Flexible dynamic measurement method of three-dimensional surface profilometry based on multiple vision sensors.

Area of Science:

• Optics and Vision Science
• Metrology
• Robotics

Background:

• Single vision sensors have limited fields of view for full object measurement.
• Existing multi-sensor systems for dynamic 3D surface profilometry are complex and susceptible to environmental vibrations.

Purpose of the Study:

• To present a novel, flexible, and vibration-insensitive dynamic measurement method for 3D surface profilometry.
• To overcome the limitations of single sensors and complex multi-sensor setups.

Main Methods:

• A raster binocular stereo vision sensor is combined with a wide-field camera to create a 3D optical probe.
• Multiple 3D optical probes are strategically arranged around the object.
• Planar targets are utilized to integrate local 3D data into a unified coordinate system.

Main Results:

• The proposed method demonstrates robustness against strong environmental vibrations.
• The positions of the 3D optical probes do not require rigid fixation during measurement.
• Experimental validation with two probes achieved 0.12 mm accuracy for a 0.7 m object within a 0.5 m x 0.38 m x 0.4 m measuring range.
• Effectiveness in dynamic measurement was confirmed by measuring rotating fan blades.

Conclusions:

• The developed flexible dynamic measurement method offers a significant advancement in 3D surface profilometry.
• The approach provides accurate and reliable measurements in dynamic and vibration-prone environments.
• This method enhances flexibility and reduces complexity compared to traditional systems.