Multi-Height Coordinate Calibration for Curved Object Assembly
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Solution Overview
Problem
Existing machine vision systems face inefficiencies in coordinate system calibration, particularly when dealing with curved objects, as repeated adjustments are necessary to align measured values with actual values, leading to cumbersome and inefficient processes.
Innovation Solution
A method that involves obtaining measured values at two different calibration heights to calculate a target calibration height where the measured parameter matches the actual value, allowing for a direct mapping between visual and mechanical motion coordinate systems, reducing the need for multiple adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If coordinate system calibration is performed at a single fixed height, then the calibration process is simple, but measurement accuracy deteriorates when object height differs from calibration height
Solution Approach 1:
The patent transitions from single-height (2D) calibration to multi-height (3D) calibration by introducing the height dimension as a variable. Multiple calibration images are captured at different heights, and through mathematical modeling, the system establishes a comprehensive mapping relationship that accounts for height variations, thereby maintaining measurement accuracy across different object positions without increasing operational complexity
Solution Approach 2:
The patent changes the calibration parameter from a fixed height value to a variable height range. By capturing calibration images at multiple heights and using mathematical models to establish mapping relationships for each height level, the system adapts to different object heights dynamically, improving measurement precision while keeping the calibration process manageable through automated computation
2Measurement precision
If repeated height adjustments are made to align measured values with actual values, then measurement accuracy improves, but calibration time and operational complexity increase
Solution Approach 1:
The patent performs preliminary calibration at multiple heights in advance, capturing calibration images at different height levels before actual measurement. This pre-established multi-height mapping database allows the system to directly determine the appropriate calibration parameters based on object height without requiring repeated iterative adjustments during operation, significantly reducing calibration time while maintaining high accuracy
Solution Approach 2:
The patent replaces the mechanical iterative adjustment process with a computational approach. Instead of physically adjusting the camera or object height repeatedly to achieve alignment, the system uses mathematical models and image processing to calculate the correct mapping relationship based on the object's height, eliminating time-consuming manual adjustments while preserving measurement accuracy
3Ease of manufacture
If calibration is performed only for planar objects, then the calibration process is straightforward, but applicability to curved objects deteriorates
Solution Approach 1:
The patent creates a universal calibration method that functions for both planar and curved objects. By using multi-height calibration and sophisticated image processing algorithms that can handle varying surface geometries, the system establishes mapping relationships that adapt to different object types. The mathematical model accounts for height variations and surface curvature, enabling the same calibration approach to work effectively across diverse object geometries without requiring separate calibration procedures
Data Source
AI summary
This application provides a coordinate system calibration method, an automatic assembly method, and an apparatus. In the coordinate system calibration method, measured values of a measured parameter of a target object are separately measured at two different calibration heights, and then a target calibration height that matches an actual value of the measured parameter is obtained based on the two different calibration heights and the corresponding measured values of the measured parameter. This solution is not only applicable to a planar object but also applicable to a curved object.