Camera System Using Facial Recognition for Auto Exposure and Focus
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users face difficulties in capturing high-quality photos, especially selfies, due to the inability to adjust the shooting angle based on personal preference and the need to take multiple shots to achieve satisfactory results, as conventional devices do not facilitate intelligent selection of shooting parameters.
Innovation Solution
An electronic device with a camera determines the object to be photographed and adjusts its settings based on shooting parameters derived from previous photos related to the object, such as shooting angle, brightness, and focus distance, using facial recognition or machine vision to identify the object and analyze pre-stored or online photos to determine optimal parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional camera devices are used, then users can take photos, but users cannot adjust shooting parameters intelligently and must take multiple shots to achieve satisfactory results
Solution Approach 1:
The camera device automatically analyzes the user's face features and determines optimal shooting parameters without manual intervention. The system serves itself by autonomously selecting portrait mode, adjusting focus distance, brightness, and shooting angles based on real-time facial recognition and analysis, eliminating the need for users to manually adjust settings or take multiple trial shots.
Solution Approach 2:
The camera pre-adjusts shooting parameters based on preliminary facial recognition before the actual photo capture. By analyzing facial features in real-time and pre-determining optimal parameters such as focus distance, exposure, and shooting angle, the system prepares the ideal shooting configuration in advance, ensuring high-quality results on the first shot.
2Manufacturing precision
If manual shooting parameter adjustment is required, then users have control over settings, but user satisfaction decreases due to inability to capture high-quality photos consistently
Solution Approach 1:
The patent replaces manual mechanical adjustment of shooting parameters with an automated optical and computational system. Facial recognition algorithms and machine learning models analyze facial features, lighting conditions, and composition requirements to automatically determine optimal parameters, substituting user manual control with intelligent automated control that achieves higher consistency and quality.
Solution Approach 2:
The system dynamically changes shooting parameters such as focus distance, aperture, shutter speed, and shooting angle based on real-time analysis of facial features and environmental conditions. By automatically adjusting these parameters according to the detected object characteristics, the system maintains high photo quality without requiring manual user intervention.
3Reliability
If multiple shots are taken to achieve satisfactory results, then photo quality may improve, but time consumption increases
Solution Approach 1:
The camera implements real-time feedback through facial recognition and analysis during the shooting process. The system continuously monitors facial features, expression, and positioning, providing immediate feedback to automatically adjust shooting parameters. This closed-loop feedback mechanism ensures high-quality results are achieved on the first shot by adapting parameters based on real-time conditions rather than requiring multiple attempts.
Data Source
AI summary
The present disclosure relates to a method and system for taking photos. According to another embodiment of the present invention, there is provided a system. The system includes an electronic device having a camera. The electronic device is configured to determine an object to be taken by the camera. Then the electronic device is configured to determine at least one shooting parameter for the object based on at least one previous photo related to the object. The electronic device is further configured to cause a setting of the camera to be adjusted based on the at least one shooting parameter. According to a further embodiment of the present invention, there is provided a computer program product. The computer program produce is tangibly stored on a non-transient machine-readable medium and include machine-executable instructions.