Dual Camera Rotation Mechanism for Dynamic Face Tracking
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Solution Overview
Problem
Current smart picture taking devices require users to constantly adjust the camera position and focus on subjects during video taking, leading to complex and inconvenient operations, especially when the subject's position changes dynamically.
Innovation Solution
A mobile terminal equipped with a dual-camera system, where one camera is a face recognition camera that collects face position information and adjusts the position of the other main camera through a rotation mechanism to keep the subject centered in the frame, allowing for dynamic face capture without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If users manually adjust camera position to keep subject centered, then image composition is improved, but operation complexity increases
Solution Approach 1:
The system uses face recognition technology to automatically detect subject position and triggers automatic camera adjustment without requiring user manual intervention. The camera module self-adjusts its position based on detected face location, eliminating the need for users to manually compose the image while maintaining precise image composition.
Solution Approach 2:
The system continuously monitors face position through recognition and uses this feedback to automatically adjust camera position. The closed-loop control ensures that the subject remains centered in the image by constantly detecting face location and triggering corresponding camera adjustments, thereby maintaining precision without manual operation.
2Device complexity
If camera position is fixed, then device complexity is reduced, but adaptability to dynamic subject movement deteriorates
Solution Approach 1:
The camera module is equipped with adjustable positioning capabilities that allow it to dynamically change its position based on detected face location. This dynamic adjustment mechanism enables the system to adapt to subject movement while maintaining relatively simple device architecture by using software-controlled positioning rather than complex mechanical structures.
Solution Approach 2:
The camera module integrates multiple functions including face recognition, automatic position detection, and automatic adjustment within a single system. This multi-functionality allows the device to handle dynamic subject movement without adding separate complex systems, as the same module performs detection, analysis, and adjustment operations.
3Ease of operation
If automatic face recognition is implemented, then ease of operation is improved, but processing time increases
Solution Approach 1:
The system performs face recognition and position detection continuously in the background before the actual image capture. This preliminary action ensures that when the shutter is triggered, the camera is already positioned correctly, minimizing additional processing time during the actual capture moment while maintaining automatic adjustment capability.
Solution Approach 2:
The face recognition and position monitoring operate continuously during the video recording process rather than intermittently. This continuous operation eliminates gaps in detection and adjustment, ensuring that the subject remains properly framed throughout the recording without causing delays, as the system is always ready to adjust instantly when needed.
Data Source
AI summary
The present invention discloses a method, a system, and a mobile terminal for dynamically capturing a face for video taking, which adjusts the positions of a face recognition camera and a main camera according to face position information collected by the face recognition camera during shooting, such that an image of a person is taken at a central area of the picture, and at the same time, collects an original image in a visual angle of the main camera. The present invention can realize dynamic capture of shooting object positions to promptly take a picture of a face.