Camera Face Recognition Continuous Shooting Control
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Solution Overview
Problem
It is challenging to capture clear, front-facing images of subjects like babies or animals that frequently move and do not maintain a steady posture, often resulting in blurred photographs.
Innovation Solution
A camera device and method that employs automatic face recognition to continuously photograph a subject if it faces the front, generating and displaying thumbnails of the images, and identifying the best photos based on predetermined conditions such as clarity and orientation, allowing users to select and store the best images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous photographing is performed to capture moving subjects, then the probability of obtaining clear front-facing images is improved, but the loss of time and energy increases
Solution Approach 1:
The control unit continuously monitors image quality parameters (focus status, face orientation) from captured images and uses this feedback to determine whether to continue photographing. When a clear front-facing image is detected, the system stops continuous photographing, thus resolving the contradiction by making the process self-regulating based on real-time quality assessment.
Solution Approach 2:
The system automatically identifies clear front-facing images and sets them as best photos without requiring continuous manual review by the user. The apparatus serves itself by autonomously selecting quality images from the continuous sequence, reducing the effective time loss for the user while maintaining high reliability of obtaining clear images.
2Reliability
If face recognition and continuous photographing are implemented, then the quality of captured images is improved, but the device complexity increases
Solution Approach 1:
The control unit integrates multiple functions (face recognition, image quality assessment, continuous photographing control, and best photo selection) into a single multi-functional component. This universal approach improves image quality while managing device complexity by consolidating rather than multiplying separate components.
Solution Approach 2:
The control unit acts as an intermediary that processes information between the camera's image capture function and the user's needs for quality photos. It mediates by automatically analyzing images and selecting best photos, thereby improving quality without requiring the user to directly manage the complex recognition and selection processes.
3Adaptability or versatility
If the subject moves frequently and does not maintain steady posture, then the difficulty of capturing clear images increases, but the adaptability of the system can compensate
Solution Approach 1:
The system dynamically adjusts its photographing behavior based on the subject's movement state. By continuously monitoring image quality and face orientation in real-time, the system adapts its capture strategy to the changing conditions of moving subjects, thereby improving adaptability while managing the difficulty of capturing clear images through active response to dynamic conditions.
Data Source
AI summary
A method for image photographing in an apparatus having a camera, according to the present disclosure is provided. The method includes identifying a face area by focusing on a subject in an automatic shot mode, automatically and continuously shooting the subject if the identified face area is directed to the front toward the camera, setting a best photo by generating and displaying thumbnails of the continuously shot images of the subject, and by displaying an identifier on a thumbnail of at least one image satisfying a predetermined condition, and by displaying an identifier on a thumbnail of image satisfying a predetermined condition, and storing the at least one image satisfying the predetermined condition if storing of images is requested.