Automated Inspection System using Range Data

We propose an automated inspection system of manufactured parts using a cloud of 3D measured points of a part provided by a range sensor, and its CAD model. Inspection consists in verifying the accuracy of a part related to a given set of tolerances. It is thus necessary that the 3D measurements be accurate. In the 3D capture of a part, several sources of error can alter the measured values. So, we have to find and model the most influential parameters affecting the accuracy of the range sensor in the digitalization process. This model is used to produce a sensing plan to acquire accurately the geometry of a part. By using the noise model, we introduce a dispersion value for each 3D point acquired. This value of dispersion is shown as a weight factor in the inspection results.

Authors

• Flavio Prieto
• Pierre Boulanger
• Richard Lepage
• Tanneguy Redarce

Keywords

• Inspection
• Cameras
• Manufacturing industries
• Computer aided manufacturing
• Coordinate measuring machines
• Surface fitting
• Clouds
• Solid modeling
• Calibration
• Laser beams
• Inspection System
• Automated Inspection System
• Noise Model
• 3D Point
• Range Of Sensors
• Inspection Results
• CAD Model
• Laser Beam
• Incident Angle
• Point Cloud
• Major Axis
• Distance Distribution
• 3D Data
• Part Of Surface
• Registration Process
• Complex Surface
• Acquisition Strategies
• Axis Length
• Real Curve
• Perpendicular Distance
• Inspection Method
• Subset Of Points
• Inspection Tasks
• Laser Ranging
• Dotted Curve
• Reference Surface
• 3D Cloud
• Reliability Values
• Scanning Process