Mobile Terminal Camera Mode Switching Based on Hand Shaking
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Solution Overview
Problem
Mobile terminals with camera capabilities face challenges in adjusting the viewing angle dynamically based on user input, leading to unwanted capture of additional regions when using wide angle lenses, requiring post-capture editing to remove unnecessary elements.
Innovation Solution
A mobile terminal equipped with a camera and a controller that allows switching between normal and wide angle modes based on user input, using a wide angle lens to adjust the viewing angle accordingly, enabling the capture of images at desired angles without additional manipulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a wide angle lens is used to widen the viewing angle, then the captured region is expanded, but unwanted regions are included in the captured image
Solution Approach 1:
The patent implements dynamic switching between normal and wide angle modes based on real-time detection of user hand shaking through acceleration sensors. The system continuously monitors movement characteristics and automatically adjusts the viewing angle mode, transitioning from static to dynamic adaptation. This resolves the contradiction by making the captured region adaptable - using wide angle only when necessary (when hand shaking is detected) and normal angle otherwise, thus expanding the captured region dynamically without permanently including unwanted regions.
Solution Approach 2:
The system changes the viewing angle parameter dynamically based on detected hand shaking characteristics. When hand shaking is detected, the viewing angle parameter switches to wide angle mode; when stable, it returns to normal angle mode. This parameter change strategy allows the captured region to be expanded only when needed, preventing unwanted regions from being consistently included in the image.
2Area of stationary object
If the viewing angle is widened to capture more region, then more content is captured, but additional post-capture editing is required
Solution Approach 1:
The system performs preliminary detection of hand shaking characteristics before capturing the image. By detecting acceleration patterns in advance and predicting the need for wide angle mode, the system pre-adjusts the viewing angle parameter. This preliminary action ensures that the correct region is captured in the first place, eliminating the need for subsequent post-capture editing to remove unwanted regions, thus saving time.
Solution Approach 2:
The system uses feedback from acceleration sensors to continuously monitor hand shaking and automatically adjust the viewing angle mode. This closed-loop feedback mechanism ensures that the captured region always matches the actual shooting conditions, preventing the inclusion of unwanted regions that would require post-capture editing. The feedback-driven adaptation eliminates time loss by capturing the correct image directly.
3Measurement precision
If normal mode is used to capture precise region, then image precision is maintained, but the captured region is limited
Solution Approach 1:
The patent implements dynamic switching between normal and wide angle modes based on real-time detection of user hand shaking through acceleration sensors. The system continuously monitors movement characteristics and automatically adjusts the viewing angle mode, transitioning from static to dynamic adaptation. This resolves the contradiction by making the captured region adaptable - using wide angle only when necessary (when hand shaking is detected) and normal angle otherwise, thus expanding the captured region dynamically without permanently including unwanted regions.
Solution Approach 2:
The system changes the viewing angle parameter dynamically based on detected hand shaking characteristics. When hand shaking is detected, the viewing angle parameter switches to wide angle mode; when stable, it returns to normal angle mode. This parameter change strategy allows the captured region to be expanded only when needed, preventing unwanted regions from being consistently included in the image.
Data Source
AI summary
A mobile terminal is disclosed. The mobile terminal according to an embodiment of the present invention comprises: a camera unit including a wide-angle lens; an input interface for receiving an input from a user; and a controller for controlling the camera unit such that the camera unit captures an image in a normal mode in which the image is captured at a normal angle or a wide-angle mode in which the image is captured at a wide angle, on the basis of an input for moving the mobile terminal.


