Point-Symmetrical Capture Structure for High-Speed Position Tracking
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Solution Overview
Problem
Existing methods for determining the position and orientation of movable objects in complex arrangements, such as machines and medical treatment apparatuses, face challenges in achieving rapid and accurate tracking with low susceptibility to errors, especially when dealing with multiple objects and high-frequency movement data.
Innovation Solution
The use of capture structures with a point-symmetrical optical property profile, captured and processed using digital cameras, where the captured information is transformed into a frequency domain to determine the location of the point of symmetry, enabling precise and efficient evaluation of the object's position and orientation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional optical capturing methods are used to determine position and orientation, then the system can track movable objects, but the determination is susceptible to errors and lacks sufficient accuracy for high-frequency movement data
Solution Approach 1:
The patent employs capture structures with specific optical properties that reflect electromagnetic radiation in characteristic patterns. These optical patterns serve as identifiable markers that can be precisely detected and differentiated from background elements, thereby improving measurement precision and reducing error susceptibility in position determination
Solution Approach 2:
The patent transforms position determination from spatial coordinate extraction to frequency domain analysis. By converting the captured optical patterns into frequency-dependent mathematical functions and analyzing their spectral characteristics, the system achieves higher precision in determining the position and orientation of movable objects
2Productivity
If rapid and accurate tracking of movable objects is achieved through repeated capturing, then movement can be tracked continuously, but the processing complexity and computational load increase significantly
Solution Approach 1:
The patent extracts only the essential frequency characteristics from the captured optical patterns rather than processing complete images. By transforming the capture information into frequency domain representations and focusing on specific frequency-dependent parameters, the system reduces computational complexity while maintaining tracking speed
Solution Approach 2:
The patent changes the parameter space from spatial coordinates to frequency domain characteristics. This transformation simplifies the mathematical operations required for position determination, enabling rapid processing of repeated capture data without significant increase in computational complexity
3Measurement precision
If the position and orientation are determined with high precision using frequency domain transformation, then accurate control is enabled, but the evaluation and processing time may increase
Solution Approach 1:
The patent performs frequency domain transformation and identifies characteristic frequency patterns as preliminary steps before final position calculation. By pre-processing the capture information into frequency-dependent mathematical functions, the system enables rapid determination of position and orientation without time-consuming computations during the measurement phase
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 allows for rapid and accurate determination of the position and orientation of movable objects, reducing errors and enabling continuous tracking at high repetition rates, suitable for industrial applications with commercially available camera systems.
Implementation Method 1
The capture structure has a profile of an optical property that varies along a surface of the capture structure, in particular a point-symmetrical profile with respect to a point of the capture structure
Data Source
AI summary
A position of an object is determined by optically capturing at least one capture structure arranged at the object or at a reference object captured from the object and thereby obtaining capture information, the at least one capture structure having a point-symmetrical profile of an optical property that varies along a surface of the capture structure, transforming a location-dependent mathematical function corresponding to the point-symmetrical profile of the optical property into a frequency domain, forming a second frequency-dependent mathematical function from a first frequency-dependent mathematical function, wherein the second mathematical function is formed from a relationship of in each case a real part and an imaginary part of complex function values of the first frequency-dependent mathematical function, and forming at least one function value of the second frequency-dependent mathematical function and determining the same as location information about a location of a point of symmetry of the location-dependent mathematical function.