QR Code Calibration Pattern for Mobile Camera Measurement
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Solution Overview
Problem
Smart mobile devices lack an efficient method for making accurate three-dimensional measurements and capturing color and brightness information of objects in images, relying on manual calibration patterns that can be prone to errors and inconvenient to use.
Innovation Solution
Incorporating calibration patterns, such as two-dimensional bar codes like QR codes, into the focus plane of the camera, which allows for automatic calibration and measurement of objects within the image, enabling precise dimensional, color, and brightness analysis using software applications on the device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual calibration patterns are used for camera calibration, then the device can perform basic measurements, but the measurement precision and reliability are compromised due to human error and inconvenience
Solution Approach 1:
The system performs automatic calibration by capturing images of the calibration pattern and processing them through software algorithms, eliminating the need for manual calibration operations by the user. The mobile device autonomously completes the calibration process by detecting the pattern, calculating camera parameters, and applying corrections without human intervention.
Solution Approach 2:
A calibration pattern is placed in the scene before capturing the target object, allowing the system to pre-calibrate camera parameters (focal length, principal point, distortion coefficients) before the actual measurement. This preliminary calibration step ensures accurate measurements are taken from the outset rather than requiring post-processing corrections.
2Ease of operation
If automatic calibration is implemented, then ease of operation improves, but the device complexity increases due to additional software processing requirements
Solution Approach 1:
The mobile device leverages its existing multi-functional capabilities (camera for image capture, processor for algorithm execution, display for showing results) to perform calibration and measurement tasks. Rather than adding dedicated hardware, the system uses the device's universal components for multiple functions including calibration pattern detection, image capture, and measurement calculation.
Solution Approach 2:
The patent replaces manual mechanical calibration operations with software-based automatic calibration. Instead of requiring users to physically adjust camera parameters or manually input calibration data, the system uses image processing algorithms to automatically detect the calibration pattern and compute camera parameters, substituting mechanical/manual processes with computational ones.
3Measurement precision
If calibration patterns are integrated into the focus plane, then measurement accuracy improves, but the setup complexity increases
Solution Approach 1:
The calibration pattern serves as an intermediary object placed between the camera and the target scene. This mediator contains encoded spatial information that the software algorithm detects and uses to calculate camera parameters. The pattern acts as a bridge that translates physical space into measurable digital data without requiring direct interaction between the camera and the target object.
Data Source
AI summary
A digital image is captured. The captured digital image includes a calibration pattern. The calibration pattern includes displayed information about the calibration pattern. The displayed information is read to obtain calibration information about the captured digital image.