Mobile Camera Stabilization via Front Sensor Motion Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Mobile phone terminals with camera functions experience instability during image capture due to hand movement, and existing solutions like remote controls or voice triggers are inconvenient or impractical in certain environments.
Innovation Solution
A mobile communication apparatus with a first camera section for imaging subjects and a second camera section for capturing the photographer, using image changes detected by the second camera section as a trigger to control the first camera section for stable image capture, allowing the device to be held steadily during imaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If a remote control device is used to prevent terminal shift during imaging, then imaging stability is improved, but device complexity and portability are worsened due to carrying an additional device
Solution Approach 1:
The patent merges the selfie camera function into the mobile terminal itself, combining what would have been separate devices (terminal + remote control) into one integrated unit. The front camera serves as a self-monitoring tool that detects facial position changes, eliminating the need for external remote control devices while maintaining imaging stability.
Solution Approach 2:
The system uses the terminal's own front camera to monitor the photographer's face and detect position changes. This self-service mechanism allows the terminal to automatically detect and respond to stability issues without requiring external辅助设备, resolving the contradiction between stability and device complexity.
2Ease of operation
If speech recognition is used as a trigger for imaging, then ease of operation is improved, but adaptability is worsened due to restrictions in places where speech is not permitted
Solution Approach 1:
The patent implements a dynamic trigger mechanism that can adapt to different environments. By using real-time facial image analysis to detect imaging gestures (such as opening eyes, closing eyes, or specific facial expressions), the system provides an adaptable alternative to speech recognition that works in silent environments while maintaining ease of operation.
3Ease of operation
If the terminal is held manually during imaging, then ease of operation is improved, but imaging stability is worsened due to hand movement when pushing the shutter button
Solution Approach 1:
The system continuously captures facial images through the front camera and compares them in real-time to detect position changes. This feedback mechanism allows the terminal to identify when the user is about to press the shutter button and when hand movement occurs, enabling precise timing of the main camera capture to avoid motion blur while maintaining manual operation convenience.
Data Source
AI summary
A mobile communication apparatus comprises: a first camera unit for capturing an image of a subject; a second camera unit for capturing an image of the camera operator or an image of an object possessed by the camera operator; an activation control unit; an operation recognizing unit; and an image capture control unit. The activation control unit controls, in response to an activation instruction, the second camera unit to start an image capture operation and sequentially generate still-image data. The operation recognizing unit compares, in response to an instruction to start the image capture operation, still-image data, specifically, current still-image data and the previous still-image data. If the current still-image data have varied relative to the previous still-image data, the image capture control unit controls the first camera unit to capture an image of the subject to generate image capture data. In this way, the mobile communication apparatus can prevent any blur from occurring when the camera function is used to capture an image of a subject.