Tilt Correction Using Acceleration and Angular Velocity Signal Comparison
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Solution Overview
Problem
Existing image capture devices struggle to accurately correct for tilt and rotational shake during image capture, leading to suboptimal image quality due to reliance on single signal processing methods that can be prone to noise and delayed responses.
Innovation Solution
An image capture device and processor system that utilizes both acceleration and angular velocity sensors to determine the angle of rotation by comparing DC and AC components of their signals, allowing for precise tilt correction and reduced noise impact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If only acceleration sensor signal is used for tilt correction, then the device structure is simple, but the measurement precision and reliability deteriorate due to noise and delayed response
Solution Approach 1:
The patent combines acceleration sensor and angular velocity sensor into a unified tilt detection system. The controller integrates signals from both sensors, using the angular velocity sensor to compensate for the acceleration sensor's noise and delayed response, thereby improving measurement precision while maintaining reasonable device complexity
Solution Approach 2:
The patent creates a composite sensing system by integrating two different sensor types (acceleration sensor and angular velocity sensor) with complementary characteristics. This composite approach leverages the strengths of each sensor type to overcome their individual weaknesses, achieving superior tilt angle detection accuracy
2Device complexity
If only acceleration sensor signal is used for tilt correction, then the device structure is simple, but the reliability deteriorates due to noise and delayed response
Solution Approach 1:
The controller implements feedback processing by continuously monitoring both acceleration sensor and angular velocity sensor outputs. The system uses the angular velocity sensor signal to correct and compensate for delays and noise in the acceleration sensor feedback loop, thereby improving the reliability of tilt correction without significantly increasing device complexity
Solution Approach 2:
The controller acts as an intermediary that processes and integrates signals from both sensors. It mediates between the acceleration sensor's direct tilt measurement and the angular velocity sensor's rotational rate data, combining them to produce a more reliable tilt correction signal that overcomes the limitations of either sensor alone
3Measurement precision
If both acceleration and angular velocity sensors are used with signal comparison, then the measurement precision and reliability improve, but the device complexity increases
Solution Approach 1:
The controller implements selective signal processing by comparing DC components and AC components separately and using conditional logic to determine which sensor signal to prioritize. This partial processing approach achieves improved measurement precision through intelligent signal selection without requiring excessive complex processing of both signals simultaneously, thereby managing device complexity effectively
4Reliability
If DC components of both signals are compared, then the reliability improves through noise reduction, but the processing complexity increases
Solution Approach 1:
The controller segments the signal processing into distinct components: DC component extraction and comparison, AC component comparison, and conditional signal selection. This segmentation allows the system to improve reliability through DC component noise reduction while managing processing complexity by handling each component separately through dedicated processing paths
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
This approach enables more accurate and timely tilt correction, reducing the influence of noise and ensuring better image stability by leveraging the reliability of multiple signal comparisons.
Implementation Method 1
an acceleration detector configured to detect acceleration and output a first signal
Implementation Method 2
an angular velocity detector configured to detect angular velocity and output a second signal
Data Source
AI summary
An image capture device according to the present disclosure includes: an image capturing section configured to generate an image by shooting; an acceleration detector configured to detect acceleration and output a first signal; an angular velocity detector configured to detect angular velocity and output a second signal; and a controller configured to determine an angle of rotation of the image based on at least a result of comparison between the first and second signals' DC components and a result of comparison between the first and second signals' AC components.