Shutter Control System Using Inertial Sensors for Vibration Compensation
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Solution Overview
Problem
Conventional motion and vibration compensation systems for optical and imaging devices require extensive memory and complex software, correcting images after they are taken rather than optimizing the shutter timing to prevent blurring due to vibrations.
Innovation Solution
A shutter control system utilizing inertial sensors, such as accelerometers and gyroscopes, to measure and predict the timing of peak accelerations, allowing the shutter to be opened and closed at optimal moments to minimize blurring, using a controller to process acceleration data and generate control signals for the shutter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If conventional motion and vibration compensation systems are used to correct images, then image blurring due to vibrations can be reduced, but the system size and cost increase due to extensive memory and complex software requirements
Solution Approach 1:
The patent applies preliminary action by predicting the optimal shutter timing before the image is actually captured. The system uses acceleration sensor data to forecast when vibration peaks will occur and calculates the optimal moment to open/close the shutter in advance, rather than correcting the image after it has been taken. This prevents blurring at the source rather than requiring complex post-processing.
Solution Approach 2:
The patent replaces the complex software-based image correction systems with a simpler mechanical sensing approach. Instead of using extensive memory and complex algorithms to correct images after capture, the system uses acceleration sensors to detect vibration patterns and controls the shutter timing mechanically based on predicted vibration peaks, thereby reducing system complexity.
2Object-affected harmful factors
If conventional motion and vibration compensation systems are used to correct images, then image blurring due to vibrations can be reduced, but the correction is performed after the image has been taken rather than preventing blurring at the moment of capture
Solution Approach 1:
The system continuously monitors acceleration data and predicts future vibration peaks before they occur. When the shutter release is activated, the controller calculates the predicted time between peak accelerations and opens/closes the shutter at the optimal moment before the predicted vibration peak, preventing blurring rather than correcting it afterward.
Solution Approach 2:
The system uses real-time feedback from acceleration sensors to continuously update predictions of vibration peaks. The controller monitors the acceleration waveform, detects the current vibration state, and adjusts the shutter timing based on this feedback to ensure optimal capture timing even as vibration conditions change.
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 reduces blurring by synchronizing shutter operation with the predicted times between peak accelerations, resulting in high-quality images without the need for post-imaging correction and minimizing system size and cost.
Implementation Method 1
The inertial sensor continuously measures, for example, linear acceleration, rotational velocity, an absolute angle of rotation, and the like
Implementation Method 2
Using frequency data from the acceleration waveform data, the controller can predict a time between peak accelerations
Data Source
AI summary
Devices, systems, and methods for controlling a shutter of a still or video camera or cellular telephone, to reduce blurring due to motion of vibrations are disclosed. The control device includes an inertial sensor for measuring acceleration, velocity and/or angular rotation and for providing data therefrom and a controller for calculating an acceleration amplitude and frequency for predicting the time between acceleration maximums. The controller opens and closes the camera shutter at a time corresponding to the predicted time between maximum accelerations as measured from a real-time acceleration maximum, negating the need for post-imaging correction.