Image-Based Angle Sensor Using Pattern Distortion
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Solution Overview
Problem
Current methods for measuring relative angles and distances using image sensors are limited in precision and accuracy, particularly in applications requiring robust and efficient image-based positioning systems.
Innovation Solution
The method involves integrating an image-capturing device with a pattern-generating device, capturing images of the pattern, and processing the data to determine angular and distance coordinates, utilizing various lenses, sensors, and pattern-generating techniques such as gradient patterns and color gradients to enhance measurement accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image sensors are used for measuring relative angles and distances, then the system is simple and cost-effective, but the measurement precision and accuracy are limited
Solution Approach 1:
A pattern-generating device serves as an intermediary element between the image sensor and the object being measured. This device emits specific patterns (such as grids, circles, or textured surfaces) that encode spatial information, allowing the image sensor to extract precise angular and distance measurements by analyzing the pattern distortion in the captured image.
Solution Approach 2:
The pattern-generating device utilizes color variations or intensity changes in the emitted patterns to provide additional measurement dimensions. By analyzing color gradient changes or intensity variations across the pattern, the system can determine spatial coordinates and distances with higher precision than conventional monochrome imaging would allow.
2Measurement precision
If advanced pattern processing techniques are applied, then measurement accuracy improves, but computational requirements and processing time increase
Solution Approach 1:
The pattern-generating device pre-encodes spatial information in the emitted patterns before the measurement process begins. This preliminary encoding of geometric and spatial data in the pattern structure allows for faster processing during measurement, as the system only needs to analyze the distorted pattern rather than perform complex measurements from scratch.
Solution Approach 2:
The system creates a digital copy or representation of the physical pattern in the captured image data. By working with this digital copy through pattern recognition algorithms, the system can efficiently extract measurement information without requiring complex real-time computations on the physical object itself, reducing processing time while maintaining accuracy.
Data Source
AI summary
A method of image-based positioning is provided. The method comprises: (A) providing an image-capturing device integrated with an object; (B) providing a pattern-generating device configured to generate a set of patterns; (C) locating the pattern-generating device in a field of view (FOV) of the image-capturing device and capturing an image of the pattern-generating device; (D) generating at least one set of pattern data by using the captured image of the pattern-generating device; and (E) processing each set of generated pattern data by using in order to generate an altitude and/or angular coordinates of the object.