Orientation Calibration System for Orthogonal Image Capture
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Solution Overview
Problem
Existing image capture systems, such as cameras, often fail to maintain orthogonal orientation during image capture, leading to skewed images which can result in critical errors in medical procedures, construction, and other applications where accurate alignment is crucial.
Innovation Solution
An orientation calibration system that includes a camera, display screen, and orientation sensors to ensure the device captures images while being orthogonal in all planes, using processors to determine and display the present and desired orientations, and providing visual, auditory, or tactile notifications when the device is aligned within a threshold, allowing for precise image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If image capture is performed without orientation calibration, then operation simplicity is improved, but image accuracy deteriorates due to skew and distortion
Solution Approach 1:
The system continuously monitors the orientation of the image capture device using sensors (accelerometer, gyroscope, magnetometer) and provides real-time feedback to the user through visual indicators on the display. When the device is properly oriented, the indicator shows alignment; when misaligned, it indicates the direction and magnitude of correction needed. This feedback loop enables users to achieve accurate orthogonal images without requiring expertise in orientation calibration.
2Measurement precision
If orientation calibration system with multiple sensors is added, then image accuracy is improved, but device complexity increases
Solution Approach 1:
The patent leverages the existing multi-functional capabilities of smartphone devices, which already contain accelerometers, gyroscopes, magnetometers, and high-resolution cameras for other purposes. By integrating these existing components into the orientation calibration system, the invention achieves precise image capture without adding dedicated specialized hardware, thereby minimizing the increase in device complexity while maximizing measurement precision.
Solution Approach 2:
The system utilizes the computational and sensing resources already present in modern smartphones to perform self-calibration and self-monitoring functions. The device's own sensors and processing power are harnessed to determine orientation, calculate alignment status, and provide feedback, eliminating the need for external calibration equipment or additional specialized components.
3Measurement precision
If real-time orientation monitoring is implemented, then image capture accuracy is improved, but energy consumption increases
Solution Approach 1:
Instead of continuously processing and displaying orientation data at maximum rate, the system implements periodic updates of the orientation indicator and alignment feedback. The sensors continue to monitor orientation in real-time, but the visual feedback and processing occur at optimized intervals that maintain image capture accuracy while reducing the computational load and energy consumption associated with constant real-time processing and display refreshes.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Ensures accurate and precise image capture by maintaining orthogonal orientation, reducing the risk of errors in applications like medical procedures and construction by providing real-time alignment feedback and automatic image capture when the desired orientation is achieved.
Implementation Method 1
an orientation sensor configured to determine two (or three axes of rotation in certain other embodiments) of the orientation calibration system
Implementation Method 2
an orientation sensor configured to determine two (or three axes of rotation in certain other embodiments) of the orientation calibration system
Data Source
AI summary
Orientation calibration system for image capture is disclosed that may include a camera to capture a target image, a display screen to display the image, an orientation sensor to determine at least two axes of orientation of the system, and a processor. The processor configured to determine the present orientation of the system using the orientation sensor, display a portion of present and a desired orientation of the system, receive a request to capture the target image, and capture the target image using the camera in response to receiving the request to capture the target image, and when a difference between the present orientation of the system and desired orientation of system is within a threshold. The system may be used to adjust/orient a display monitor to ensure desired alignment to accurately capture image. Methods for aligning/orienting a display monitor (imaging source), and the orientation calibration system are provided.