Imaging Apparatus Tilt Correction Using Multi-Axis Angular Velocity Sensors
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Solution Overview
Problem
Existing imaging apparatuses fail to precisely detect and correct tilts caused unintentionally in the direction of rotation around an axis substantially parallel to the optical axis, leading to erroneous image rotation.
Innovation Solution
Incorporating a CMOS image sensor, angular velocity sensors for detecting rotations around different axes, and a processor to process information from these sensors, allowing for precise detection and correction of tilts by adjusting the image data clipping position or rotation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single angular velocity sensor parallel to the optical axis is used for tilt detection, then the device complexity is reduced, but the measurement precision of unintentional tilts deteriorates
Solution Approach 1:
The tilt detection function is segmented across three sensors with different orientations. The first sensor detects angular velocity around the optical axis, the second sensor detects angular velocity around a horizontal axis, and the third sensor detects rotation angle around a perpendicular axis. This segmentation allows each sensor to contribute specific information that, when combined, provides comprehensive and accurate tilt detection while eliminating erroneous detections.
Solution Approach 2:
The invention transitions from single-axis detection to three-dimensional detection by adding sensors in different orientations. The processor integrates information from all three sensors to calculate tilt in multiple dimensions, enabling accurate distinction between intentional and unintentional tilts through multi-dimensional data analysis.
2Ease of operation
If simple coordinate transformation is applied for tilt correction, then the ease of operation is improved, but the manufacturing precision of image correction deteriorates
Solution Approach 1:
The system implements feedback by continuously monitoring angular velocity and rotation angle through multiple sensors, processing this information to calculate actual tilt, and using this feedback to dynamically adjust image clipping positions. This closed-loop approach ensures high precision image correction while maintaining operational simplicity through automated processing.
Solution Approach 2:
The processor performs preliminary calculation of the relationship between sensor readings and actual tilt orientation before image correction is needed. By pre-establishing the transformation matrix and clipping position calculations based on multi-sensor data, the system prepares correction parameters in advance, enabling both simple operation and high precision when actual tilt correction is required.
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
Enables precise detection and correction of unintentional tilts, ensuring accurate image capture by distinguishing between intended and unintended rotations, thereby improving image stability and quality.
Implementation Method 1
a first sensor for detecting a first angular velocity, i.e. an angular velocity around a first axis, which is substantially parallel to the optical axis of the optical system
Implementation Method 2
a second sensor for detecting a second angular velocity, i.e. an angular velocity around a second axis, which is substantially perpendicular to a horizontal plane when the apparatus is placed on the horizontal plane
Data Source
AI summary
An imaging apparatus and a detecting apparatus are provided. The imaging apparatus includes the following elements: an imaging part for imaging the light condensed by an optical system and for generating image data; a first sensor for detecting a first angular velocity, i.e. an angular velocity around a first axis, which is substantially parallel to the optical axis of the optical system; a second sensor for detecting a second angular velocity, i.e. an angular velocity around a second axis, which is substantially perpendicular to a horizontal plane when the apparatus is placed on the horizontal plane; a third sensor for detecting an angle of rotation around a third axis, which is substantially perpendicular to the plane formed by the first axis and the second axis; and a processor for processing information about the first angular velocity, based on information about the second angular velocity and information about the angle.