Lens Stabilization via Shaking Detection and Feedback Control
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Solution Overview
Problem
Small, thin electronic devices such as smartphones often produce unclear images due to shaking caused by excessive force when shutter buttons are pressed, leading to image instability.
Innovation Solution
An image-capture system comprising a lens, a motor, and a sensing unit, where the motor adjusts the lens position based on sensing signals to compensate for shaking, using predetermined sensitivity information to generate driving signals that counteract image shifting, thereby maintaining image stability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a lens is used in a small, thin electronic device, then the device can capture images, but the device shakes due to excessive force when shutter buttons are pressed, resulting in unclear images
Solution Approach 1:
The system performs preliminary action by detecting shaking movements before they affect the image quality and preemptively adjusting the lens position to compensate for the anticipated image shift. The sensing unit continuously monitors for shaking, and the control unit calculates compensation amounts in advance, allowing the lens to be positioned correctly before the actual exposure occurs, thus preventing blur rather than correcting it afterward.
Solution Approach 2:
The system implements feedback by using the sensing unit to continuously monitor shaking movements and feed this information back to the control unit, which then adjusts the lens position accordingly. The control unit receives sensing signals indicating the magnitude and direction of shaking, processes this feedback information, and generates driving signals to move the lens in the opposite direction of the shaking, creating a closed-loop control system that maintains image stability despite external disturbances.
2Stability of the object's composition
If additional sensors are added to compensate for shaking, then image stability improves, but device complexity and cost increase
Solution Approach 1:
The sensing unit serves multiple functions: it detects shaking movements for image stabilization, provides feedback for real-time lens adjustment, and enables the system to adapt to different shooting conditions. By making the sensing unit multi-functional, the system achieves image stabilization without adding separate dedicated sensors, thereby reducing overall device complexity while maintaining effective shaking compensation.
Solution Approach 2:
The system achieves self-service by using the existing sensing unit to automatically detect and compensate for shaking without requiring additional specialized sensors. The control unit processes the sensing signals and autonomously calculates the compensation amount based on predetermined information, enabling the system to self-regulate and maintain image stability through internal resources rather than external additions.
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
The system effectively compensates for shaking-induced image instability, ensuring clear images by accurately adjusting the lens position to counteract external forces and gravity effects, reducing the need for additional sensors and lowering costs.
Implementation Method 1
a motor, adjusts a position of the lens according to a driving signal
Data Source
AI summary
An image-capture system is provided. The image-capture system includes a lens, a motor, a first sensing unit, and a control unit. The lens has an effective focal length. The motor carries the lens and adjusts a position of the lens according to a driving signal. The first sensing unit senses a shaking amount of the image-capture system and generates a first sensing signal. The control unit provides the driving signal according to predetermined information and the first sensing signal.


