Dual Subsystem Surface Inspection System with Self-Calibrating Control
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Solution Overview
Problem
Existing surface inspection methods for objects, particularly continuous profiles, require complex calibration and precise positioning of camera devices, making them cumbersome and inefficient for reliable quality control.
Innovation Solution
A system comprising two subsystems for digital image processing, where the first subsystem determines the object's dimension and position, and the second subsystem evaluates the surface structure, with a control unit generating signals to adjust the camera device's position and operation based on data from both subsystems, simplifying the setup and ensuring accurate measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complex calibration and precise positioning methods are used for camera devices, then measurement reliability is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The system performs self-calibration by automatically determining the camera device position and object position through coordinate transformation algorithms. The control unit generates control signals that enable the system to self-adjust and self-correct without requiring external calibration procedures or precise manual positioning, thereby maintaining measurement reliability while eliminating complex calibration steps.
2Measurement precision
If complex calibration procedures are implemented, then measurement accuracy is improved, but ease of operation and productivity deteriorate
Solution Approach 1:
The system performs preliminary coordinate transformation and position determination calculations automatically during the measurement process. By pre-establishing the transformation relationships between camera coordinates and object coordinates, the system ensures measurement precision without requiring complex preliminary calibration procedures or manual setup adjustments.
3Reliability
If fixed precise positioning of camera devices is required, then measurement reliability is improved, but adaptability to varying object sizes deteriorates
Solution Approach 1:
The system dynamically adjusts measurement parameters and control signals based on real-time position data of the camera device and object. By implementing dynamic coordinate transformations that adapt to varying object sizes and positions, the system maintains inspection reliability while being versatile enough to handle different object dimensions without requiring fixed precise positioning for each specific case.
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
This approach simplifies the surface inspection process by reducing the need for complex calibration, allowing for reliable and efficient measurement of object dimensions and surface structures, even for varying object sizes, with improved imaging correction and reduced production costs.
Implementation Method 1
Irradiating the surface of the profile by means of a suitable light source
Implementation Method 2
detecting the reflected radiation by an electronic camera device
Data Source
AI summary
A system for measuring an object and for monitoring the surface of the object. The system comprises at least a first subsystem for determining one or more dimensions of the object and a position of the object within the first subsystem, and at least a second subsystem for determining a surface structure of the object. Further, the system comprises a control unit generating control signals (iii) for operation of the second subsystem as a function of data (i) of the first subsystem with respect to a position of the object in the first subsystem and/or the dimension of the object, and of data (ii) of the second subsystem with respect to a position of the camera device in the second subsystem.


