360-Degree Point Cloud Inspection for Orientation-Independent Defect Detection
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Solution Overview
Problem
Existing inspection systems for manufactured parts require complex setup, are time-consuming, and often necessitate manual positioning, leading to inefficiencies and increased costs due to the need for sparse sampling, which can result in non-conforming components and rework.
Innovation Solution
An automated, in-line quality inspection system using non-contact three-dimensional scanning with a laser profilometer that scans objects moving on a transport system, allowing for dense sampling and comparison to CAD models to detect defects and deviations from specifications, regardless of part orientation, and can perform multiple inspections at various stages of production.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If non-contact profilometer scanning is used to generate 3D point cloud, then measurement precision is improved, but device complexity increases due to required mechanical movement and overlapped profile traversals
Solution Approach 1:
The patent replaces the mechanical movement system with a stationary multi-array sensor configuration. Instead of moving the profilometer to capture multiple profiles, the invention uses multiple sensor arrays positioned at different locations that simultaneously capture the entire object surface, eliminating mechanical complexity while maintaining measurement precision.
Solution Approach 2:
The patent transitions from sequential 1D profile scanning to simultaneous 2D/3D surface capture by deploying sensor arrays in multiple spatial dimensions. This allows the system to capture the complete 3D geometry of the object in a single measurement instance rather than requiring sequential mechanical traversal.
2Loss of time
If traditional CMM inspection is used, then setup time is reduced for simple parts, but measurement precision deteriorates due to sparse sampling of specific points
Solution Approach 1:
The patent creates a dense 3D point cloud copy of the entire object surface rather than sampling sparse points. This digital replica captures continuous surface geometry information, providing both the speed of automated scanning and the precision of comprehensive surface measurement, eliminating the trade-off between sampling density and inspection time.
3Adaptability or versatility
If manual inspection methods are used, then adaptability to various part orientations is improved, but productivity decreases due to laborious manual operations
Solution Approach 1:
The patent creates a universal inspection system that can handle multiple part orientations and geometries simultaneously through its multi-array sensor configuration. The system is designed to capture objects in various positions without requiring manual repositioning or different inspection methods, achieving both adaptability and high productivity through automated simultaneous multi-view capture.
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 system enables efficient, precise, and automated quality control, reducing setup time and costs by allowing continuous inspection of parts in various orientations, detecting defects in real-time, and predicting wear in molds, thus preventing non-conforming products and optimizing production processes.
Implementation Method 1
a laser profilometer that scans objects moving on a transport system
Implementation Method 2
non-contact three-dimensional scanning
Data Source
AI summary
A system and method for performing real-time quality inspection of objects is disclosed. The system and method include a transport to move objects being inspected, allowing the inspection to be performed in-line. At least one optical acquisition unit is provided that captured optical images of the objects being inspected. The captured optical images are matched to CAD models of objects, and the matched CAD model is extracted. A laser with an illumination light beam has a wavelength in the violet or ultraviolet range then conducts scans of the objects, which are formed into three-dimensional point clouds. The point clouds are compared to the extracted CAD models for each object, where CTF are compared to user input or CAD model information and the object is determined to be acceptable or defective based on the extent of deviation between the point cloud and the CAD model.