Polygonal Outline Alignment for Accurate Offset Detection
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Solution Overview
Problem
Existing methods for detecting the offset between the outline of a produced polygonal object and its designed outline are inaccurate due to camera movement errors and insufficient image resolution, especially when multiple polygonal objects are arranged on a tray, leading to measurement inaccuracies.
Innovation Solution
Use multiple cameras positioned at each corner of the polygonal object to capture images simultaneously, determine feature points, form virtual outlines, and rotate them to align with the designed outline, eliminating movement-induced errors and improving resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single camera is moved around the object to capture images of all corners, then the device complexity is reduced, but measurement precision deteriorates due to movement errors
Solution Approach 1:
The patent divides the detection system into multiple stationary camera units, each assigned to capture images of specific corners of the object. This segmentation eliminates the need to move a single camera, thereby preventing movement-induced measurement errors while maintaining relatively simple device architecture.
Solution Approach 2:
The patent transitions from a single-camera sequential detection approach to a multi-camera simultaneous detection approach, adding spatial dimensionality to the system. This allows all corners to be captured at once without movement, resolving the contradiction between device simplicity and measurement precision.
2Device complexity
If a single camera is used to capture panoramic images, then device complexity is reduced, but image resolution deteriorates at corner regions
Solution Approach 1:
The detection system is segmented into multiple camera units, each dedicated to capturing high-resolution images of specific corner regions. This ensures that each corner receives sufficient image resolution without requiring a complex panoramic capture system.
Solution Approach 2:
Different regions of the object are assigned different detection resources based on their importance. Corner regions, which require high precision for offset detection, are captured by dedicated camera units that provide higher local resolution, while other areas use standard imaging.
3Measurement precision
If multiple cameras are used to capture images simultaneously, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system is divided into multiple independent camera units positioned at different locations, each capturing specific portions of the object. This segmentation allows for improved measurement precision through simultaneous multi-point detection while keeping each individual camera unit relatively simple.
Solution Approach 2:
Each camera unit is designed to be a universal, standardized component that can detect multiple features (edges, corners, text, logos) simultaneously. This multi-functionality reduces the need for specialized equipment, thereby limiting the increase in device complexity despite using multiple cameras.
Data Source
AI summary
A method of adjusting an orientation of an outline image of a polygonal object obtained by detecting a first outline of the polygonal object is disclosed. The method includes the following steps: (a) determining a plurality of feature points from the first outline of the polygonal object; (b) identifying a plurality of positional parameters for the plurality of feature points; (c) obtaining a virtual outline of the polygonal object by associating the plurality of positional parameters; (d) determining a center of rotation based on the virtual outline; and (e) rotating the virtual outline along the center of rotation to the orientation to generate an orientation-aligned outline.