Photogrammetric 3D Measurement Precision Mapping for Target Placement
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing 3D metrology systems face challenges in achieving precise measurements due to reliance on technician judgment for visual target placement and inadequate trajectory design for robotic arms, leading to inconsistent precision and increased time and cost.
Innovation Solution
A system and method that provides graphical representations and precision indicators to guide the placement of visual targets and validate their adequacy, as well as optimizing scanning trajectories to ensure desired precision levels are met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual targets are placed based on technician judgment and experience, then the system can be operated with current manual methods, but measurement precision becomes inconsistent and relies on technician expertise
Solution Approach 1:
The system automatically determines optimal visual target positions through computational algorithms that analyze the measurement volume and precision requirements, eliminating the need for technician judgment and experience in target placement decisions
Solution Approach 2:
The system performs preliminary computational analysis to determine the optimal number and positions of visual targets before the actual measurement process begins, ensuring precision requirements are met without trial-and-error adjustments during measurement
2Ease of manufacture
If visual targets are placed manually by technicians, then the process can be completed with current methods, but the time and cost increase due to trial-and-error processes
Solution Approach 1:
The system replaces manual mechanical target placement with an automated computational method that calculates optimal positions based on measurement requirements, eliminating the trial-and-error process and reducing setup time
Solution Approach 2:
The system provides feedback to technicians regarding the optimal number and positions of visual targets based on computational analysis of measurement precision requirements, enabling informed decision-making without trial-and-error
3Measurement precision
If the number and position of visual targets are not adequately optimized, then the setup process is simpler, but the measurement precision cannot meet the required level
Solution Approach 1:
The system changes key parameters including the number of visual targets, their positions, and distribution patterns based on computational analysis of measurement volume and precision requirements, optimizing measurement capability without excessive complexity
4Measurement precision
If visual targets are distributed uniformly on the object surface, then the placement process is straightforward, but measurement precision in all areas may not be adequately ensured
Solution Approach 1:
The system applies local quality by determining different visual target densities and positions for different regions of the measurement volume based on local precision requirements, rather than uniform distribution, optimizing precision where needed most
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
Enhances measurement precision by ensuring adequate target distribution and optimizing scanning paths, reducing reliance on technician expertise and minimizing trial-and-error processes.
Implementation Method 1
The visual targets are generally in the form of adhesive units with a surface that is retroreflective with respect to light emitted from the photogrammetric system
Implementation Method 2
Photogrammetric systems integrating one, two or more cameras are used for the measurement of 3D points of a surface
Data Source
AI summary
Described is a method for providing a user with measurement precision indications for a photogrammetric system comprising a positioning system with at least one optical device and a measuring instrument by directing a computing device to implement a Graphical User Interface (GUI), receiving information representing locations of visual targets affixed on the surface of the object and on another immobile surface, processing the locations of the visual targets within the field of view of the at least one optical device for deriving information conveying a volume within which 3D measurements of the surface of the object taken by the measuring instrument satisfy a threshold level of precision, and rendering on the GUI a graphical representation including a volumetric shape corresponding to the derived volume within which the 3D measurements of the surface of the object taken by the measuring instrument satisfy the threshold level of precision. Optionally, or in addition, to presenting measurement precision indications on a GUI, data may be generated conveying the measurement precision indications and may be using in other systems in order to improve surface measurement applications including generating a scanning trajectory for a robot in a photogrammetric system.