Flexible Feature Image Scale for Multi-Directional Positioning
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Solution Overview
Problem
Conventional positioning and measuring systems, such as optical and magnetic scales, are limited in their ability to provide multi-directional positioning and measurement, especially for objects with unique surface morphologies, often requiring additional tools and being affected by mounting positions and geometric properties, and contact measurement methods are time-consuming and inaccurate.
Innovation Solution
A positioning and measuring system based on a flexible feature image scale, utilizing an image capturing device, a driving mechanism, and a processor to capture overlapping images, extract feature points, and perform cross-image feature point matching to achieve image positioning, specific dimension measurement, and flexible reference positioning, leveraging the unique surface morphology of the object.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional optical scales or magnetic scales are used for positioning, then positioning function is provided, but multi-directional positioning and measurement cannot be achieved and additional auxiliary tools are needed
Solution Approach 1:
The image capturing device is designed to perform multiple functions: it can capture images for positioning, measure dimensions in multiple directions, and identify unique surface morphologies. By using a single device that can detect features in different orientations and perform various measurements, the system eliminates the need for multiple specialized tools while providing comprehensive positioning and measurement capabilities.
2Measurement precision
If contact measurement method with probe is used, then feature distances can be measured, but measurement process is time-consuming and accuracy is affected by control system
Solution Approach 1:
The patent replaces the mechanical contact measurement method with an optical imaging method. Instead of using a physical probe that requires mechanical movement and contact with the workpiece, the system uses an image capturing device to optically detect feature points and calculate distances based on image coordinates and unique surface morphologies. This substitution eliminates mechanical wear, contact forces, and control system dependencies, thereby improving both measurement speed and accuracy.
3Adaptability or versatility
If conventional scales are used, then positioning in specific direction is achieved, but other utilizations in operation processes are not provided
Solution Approach 1:
The patent introduces unique surface morphology features as intermediary elements that bridge the gap between simple positioning and comprehensive measurement. These naturally occurring or intentionally created surface features serve as reference points that encode spatial and dimensional information. By detecting and utilizing these morphology features, the system can extract multiple types of information (position, orientation, dimensions) from a single imaging operation, enabling various operation process utilizations without losing surface morphology information.
Data Source
AI summary
A positioning and measuring system includes: an image capturing device performing image capturing operations on an object; a driving mechanism mechanically connected to one or both of the image capturing device and the object to cause a relative movement between the image capturing device and the object; and a processor electrically connected to the image capturing device and the driving mechanism and performing steps of: controlling the image capturing device to capture N portions of the object to generate N images before and after controlling the driving mechanism to cause M relative movements between the object and the image capturing device; and extracting feature points of each of the N images corresponding to unique surface morphology of the object and respectively performing cross-image feature point matching according to the feature points of every neighboring two of the N images to obtain information of the M relative movements.