Electronic Device Face Region Auto-Zoom Analysis
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Solution Overview
Problem
Existing electronic devices lack the capability to automatically zoom in and focus on face regions during image capture without user intervention, limiting their ability to analyze face information effectively.
Innovation Solution
An electronic device equipped with a camera module and a controller that detects face regions in images and automatically zooms in on them, allowing for analysis of skin conditions such as wrinkles, acne, pigmentation, and skin tone, using predefined analysis items and displaying results on a screen.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the user manually determines and identifies objects to be captured and sets focus on detailed regions, then the device can obtain zoomed in or finely captured images, but the operation becomes complex and time-consuming
Solution Approach 1:
The electronic device automatically detects face regions and determines focus settings without requiring user intervention. The controller autonomously identifies facial features in captured images and sets the focus on detailed face regions, enabling the system to serve itself rather than requiring manual user operations for focus determination
Solution Approach 2:
The device performs preliminary face region detection and automatic focus setting before the actual image capture. By pre-identifying face regions and determining appropriate focus parameters in advance, the system prepares the capture settings ahead of time, eliminating the need for manual focus adjustment during the capture process
2Ease of operation
If the device automatically detects and zooms in on face regions during capture, then the ease of operation improves, but the device complexity increases
Solution Approach 1:
The camera module and controller are designed to perform multiple functions: capturing images, detecting face regions, determining focus settings, and controlling zoom operations. By making the existing components multi-functional, the patent avoids adding separate dedicated hardware for automatic face detection and focus control, thereby limiting the increase in device complexity
Solution Approach 2:
The controller acts as an intermediary between the camera module and the processing units. It receives captured images, coordinates face region detection, manages focus setting, and controls zoom operations. This intermediary role allows the system to achieve automatic operation through software coordination rather than requiring complex hardware integration
3Productivity
If the device captures and analyzes face information without manual control, then the productivity increases, but the measurement precision may be compromised
Solution Approach 1:
The system continuously monitors the captured images, detects face regions, adjusts focus settings, and controls zoom operations based on real-time feedback. The controller receives feedback from face detection algorithms and automatically adjusts capture parameters to ensure precise focus on detailed face regions, maintaining measurement precision while achieving high productivity through automation
Solution Approach 2:
The patent replaces manual mechanical operations (user manually focusing and zooming) with automated electronic control systems. The controller uses image processing algorithms and automatic control mechanisms to determine focus settings and execute zoom operations, substituting human manual control with electronic automation that maintains or improves precision through computational accuracy
Data Source
AI summary
A method for analyzing face information in an electronic device is provided. The method includes detecting at least one face region from an image that is being captured by a camera module, zooming in the at least one detected face region, and analyzing the at least one detected and zoomed in face region according to at least one analysis item.