Laser Groove Depth Measurement Using Point-Cloud Edge Detection
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Solution Overview
Problem
Traditional mechanical groove depth measurement devices require high operator standardization and suffer from measurement inaccuracies due to misalignment and deviation angles, while computer vision-based methods fail to accurately identify grooves and provide consistent depth measurements.
Innovation Solution
A groove depth measurement method involving point cloud data processing, including gradient value acquisition, edge point determination, and reference line fitting to calculate groove depth, which includes preprocessing, interpolation, and smoothing to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional mechanical groove depth measurement device is used, then measurement can be performed, but operator standardization requirements are high and measurement consistency is poor
Solution Approach 1:
The patent replaces the traditional mechanical measurement system with a laser-based optical measurement system. A laser projector projects a laser line onto the workpiece surface, and a camera captures the deformed laser line pattern. Through optical triangulation and image processing, the system automatically calculates groove depth, eliminating the need for manual mechanical measurement and operator standardization.
Solution Approach 2:
The system creates a digital copy of the groove geometry by projecting a laser line pattern onto the workpiece and capturing it with a camera. The captured laser line image serves as a digital replica of the surface topology, which is then processed through algorithms to extract precise groove depth measurements, replacing physical mechanical contact measurement.
2Ease of operation
If computer vision technology is used for groove depth measurement, then operator standardization requirements are reduced, but measurement accuracy deteriorates due to algorithm defects
Solution Approach 1:
The patent transforms the measurement parameters by converting physical groove depth into optical parameters. The laser line projection angle, camera viewing angle, and image processing thresholds are optimized parameters that enable accurate depth calculation from 2D images. The system changes from direct mechanical depth measurement to optical parameter-based indirect measurement with improved precision.
Solution Approach 2:
The system implements feedback through iterative image processing and validation. The algorithm processes the captured laser line image, identifies groove edges and bottom points, calculates depth, and validates results against expected ranges. This feedback mechanism ensures measurement accuracy while maintaining automated operation without operator standardization requirements.
3Ease of operation
If base of measurement device is not strictly aligned with workpiece surface, then ease of operation improves, but measurement reliability deteriorates due to deviation angles
Solution Approach 1:
The system employs dynamic adaptation through automatic alignment algorithms. Rather than requiring strict static alignment, the system dynamically calculates the actual laser line projection angle and camera viewing angle from the captured image geometry. It adjusts computational parameters in real-time to compensate for misalignment, enabling reliable measurements even when the device base is not perfectly aligned with the workpiece surface.
Solution Approach 2:
The patent changes the measurement approach from fixed-angle geometric measurement to adaptive parameter-based measurement. The system calculates effective projection angles and viewing angles from image data, then uses these dynamically determined parameters in the depth calculation algorithm. This parameter adaptation allows the system to maintain measurement reliability across a range of alignment conditions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The method improves measurement accuracy by effectively identifying groove edges and calculating depth with reduced operator dependency, providing precise and consistent groove depth measurements.
Implementation Method 1
acquiring a first point cloud data set of a workpiece surface
Data Source
AI summary
A groove depth measurement method includes: acquiring a first point cloud data set of a workpiece surface; generating a gradient absolute value sequence; determining a groove edge point sequence; determining a left edge point and a right edge point of each groove; fitting a groove upper reference line of each groove according to upper plane reference points of left and right edges of each groove; and calculating the groove depth of each groove on the workpiece surface according to the groove upper reference line and a groove bottom reference point.