Hall Sensor Shakiness Correction for Digital Cameras
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing digital photographing devices face challenges in effectively correcting camera shake, which can lead to blurred images due to up-down or left-right motions during image capture, as current stabilization techniques may not adequately account for the specific displacement caused by shutter or mirror operations.
Innovation Solution
A method and apparatus utilizing a hall sensor to generate a signal corresponding to displacement caused by shock, determining if the signal exceeds a threshold value, and generating a shakiness correction control signal for either using previously stored data or real-time data based on the duration of the displacement, to perform shakiness correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a hall sensor is used to detect displacement caused by shutter or mirror operations, then the accuracy of shakiness detection is improved, but the device complexity increases
Solution Approach 1:
A hall sensor is introduced as an intermediary component to detect displacement caused by shutter or mirror operations. The hall sensor generates a hall sensor signal that serves as an intermediate indicator of camera shake, which is then used by the control unit to generate appropriate shakiness correction control signals. This mediator approach enables accurate detection of specific displacement types without requiring complex direct measurement systems.
2Speed
If shakiness correction is performed using previously stored shakiness data, then the correction speed is improved, but the adaptability to new shaking patterns decreases
Solution Approach 1:
Shakiness data is collected and stored in advance during normal camera operation. When shakiness occurs, the control unit can immediately retrieve previously stored shakiness data to generate correction control signals without waiting for real-time data accumulation. This preliminary action enables fast correction response while maintaining the ability to adapt to different shaking patterns through the stored diverse shakiness data.
3Measurement precision
If the hall sensor signal threshold is set low, then the detection sensitivity is improved, but the false positive rate increases
Solution Approach 1:
The control unit dynamically adjusts the threshold value for the hall sensor signal based on operating conditions. By changing the threshold parameter adaptively, the system maintains high detection sensitivity for actual shakiness events while reducing false positives caused by normal operational variations. This parameter adjustment enables the system to distinguish between significant displacement requiring correction and minor variations during shutter or mirror operations.
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 minimizes the influence of camera shake on image quality by accurately correcting for displacement caused by shutter or mirror operations, ensuring stabilized images by using either stored or real-time data based on the duration of the displacement.
Implementation Method 1
generating using a hall sensor a hall sensor signal corresponding to displacement caused by a shock
Data Source
AI summary
Provided is a method, apparatus, and computer readable medium for correcting shakiness, in which the method includes generating using a hall sensor a hall sensor signal corresponding to displacement caused by a shock; determining whether the hall sensor signal exceeds a first threshold value; generating a shakiness correction control signal according to a result of the determination; and performing shakiness correction according to the shakiness correction control signal.