Machine Tool Object Position Detection Without Extrinsic Calibration
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Solution Overview
Problem
Existing methods for detecting the position of objects in machine tools require frequent extrinsic calibration of cameras, which is labor-intensive and inefficient, especially when the camera's orientation changes due to mechanical or thermal influences.
Innovation Solution
A system using a camera to capture images of both the object and its carrier, with processing units determining their positions relative to the camera based on geometric features, allowing the relative position between the object and carrier to be calculated without needing extrinsic camera calibration, by arithmetically combining the positions and orientations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If extrinsic calibration of the camera is performed frequently to maintain accuracy when camera orientation changes, then measurement precision is improved, but loss of time and productivity deteriorate due to labor-intensive calibration processes
Solution Approach 1:
The system performs self-calibration by automatically detecting geometric features of the object carrier and computing camera position and orientation parameters from these features, eliminating the need for manual extrinsic calibration and enabling the system to maintain accuracy autonomously
Solution Approach 2:
The system pre-establishes the relationship between geometric features of the object carrier and the machine tool coordinate system, so that when the camera captures images, the calibration data is already available and can be used immediately without time-consuming manual calibration procedures
2Measurement precision
If extrinsic calibration is performed frequently to maintain accuracy when camera orientation changes, then measurement precision is improved, but device complexity increases due to additional calibration procedures and operations
Solution Approach 1:
The system automatically performs calibration computations using detected geometric features of the object carrier, eliminating the need for complex manual calibration procedures and reducing operational complexity while maintaining measurement precision
Solution Approach 2:
The patent replaces manual mechanical calibration procedures with an automated optical measurement system that uses image processing and geometric feature detection to determine camera parameters, thereby reducing operational complexity
3Ease of operation
If geometric features of the object carrier are used for calibration-free position detection, then ease of operation is improved by eliminating manual calibration, but measurement precision may deteriorate without frequent extrinsic calibration
Solution Approach 1:
The system automatically maintains measurement precision through self-calibration using geometric features of the object carrier, eliminating the need for manual calibration operations while preserving accuracy through automated computational correction of camera position and orientation
Solution Approach 2:
The system uses detected geometric features of the object carrier to continuously feedback and update camera position and orientation parameters, ensuring measurement precision is maintained without manual intervention and adapting automatically to changes in camera orientation
Data Source
AI summary
A device for detecting the position of an object in a machine tool includes a camera configured to provide an image of the object and an object carrier to which the object is connected and whose position within the machine tool is known. A first processing unit is configured to identify a position of the object relative to the camera based on geometric features of the object which are obtained from the image. A second processing unit is configured to identify a position of the object carrier relative to the camera based on geometric features of the object carrier which are obtained from the image. A third processing unit is configured to determine a position of the object relative to the object carrier from the identified positions of the object and the object carrier relative to the camera.