3D Vision Inspection Correcting Position and Rotation Errors
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Solution Overview
Problem
Machine vision systems face challenges in accurately detecting defects and ensuring proper manufacturing due to variance in object placement and rotation, leading to position and distortion errors, especially when dealing with multiple different objects on the same production line.
Innovation Solution
The integration of real-time three-dimensional information with color pixel information using stereoscopic 2D image-based features and 3D depth information allows for rapid detection and analysis, enabling the generation of a color three-dimensional virtual model that accommodates for placement and rotation variance, facilitating accurate inspection and reducing errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional 2D machine vision systems are used for inspection, then the system complexity is low, but the detection precision and accuracy deteriorate due to position and distortion errors from object placement and rotation variance
Solution Approach 1:
The patent transitions from traditional 2D machine vision to a 3D vision system by introducing depth information through multiple image capturing devices positioned at different angles. This dimensional upgrade allows the system to obtain three-dimensional coordinates of object features, enabling accurate detection and measurement regardless of object placement or rotation variations on the production line.
2Reliability
If 3D depth information and multiple camera systems are integrated, then the detection accuracy and defect identification improve, but the device complexity increases
Solution Approach 1:
The inspection system is divided into multiple independent image capturing devices, each responsible for capturing images from specific angles. The processor then segments the analysis by identifying features from different devices and integrating them to construct a comprehensive three-dimensional model, allowing complex inspection tasks to be broken down into manageable components.
Solution Approach 2:
The multi-angle image capturing system serves multiple functions: it captures object geometry, identifies defects, determines three-dimensional coordinates, and constructs virtual models. This universal system handles various inspection requirements through a single integrated platform, improving reliability while managing complexity through functional consolidation.
3Productivity
If real-time three-dimensional information processing is implemented, then the inspection speed and productivity improve, but the computational requirements and processing complexity increase
Solution Approach 1:
The system performs preliminary actions by capturing multiple images from different angles simultaneously before the inspection process begins. The processor pre-processes these images to identify features and calculate three-dimensional coordinates in advance, enabling rapid defect detection and analysis during actual production without real-time processing delays.
Data Source
AI summary
A method for vision machine inspection comprises providing depth information of a target acquired by an image capturing system, determining real-time three-dimensional information of a target object in a predetermined inspecting area based on depth information of at least one real-time image of the target. The method further comprises projecting color pixel information of a real-time color image of the target object to a three-dimensional virtual model based on the real-time three-dimensional information. The real-time color image may be acquired by a color camera system. The method further comprises generating a color three-dimensional virtual model. The color three-dimensional virtual model may comprise the color pixel information.