AI Photography Recommendation System for Composition and Lighting
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Solution Overview
Problem
Existing photography systems lack the ability to provide effective recommendation information for composition, setting values, and poses to users, especially for ordinary users who are not familiar with professional photography techniques.
Innovation Solution
An electronic apparatus equipped with AI technology identifies subjects and surroundings, determines recommended photographing compositions, setting values, and poses based on deep learning models, and provides guidance through visual and audio cues to enhance photography quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If deep learning-based AI systems are used to provide photography recommendations, then the quality and personalization of recommendation information is improved, but the device complexity and computational requirements increase
Solution Approach 1:
The system segments the photography recommendation task into multiple independent modules: subject identification module, composition analysis module, lighting evaluation module, and recommendation generation module. Each module processes specific aspects separately and combines results, reducing overall system complexity while maintaining high recommendation accuracy through specialized processing in each segment.
Solution Approach 2:
The patent introduces an intermediary processing layer that analyzes preview images and extracts features before generating recommendations. This intermediary layer acts as a mediator between raw image data and final recommendations, simplifying the computational burden on the deep learning model while preserving essential information for accurate recommendations.
2Loss of information
If multiple sensors and cameras are used to capture subject and surrounding information, then the quality of recommendation information is improved, but the device complexity and cost increase
Solution Approach 1:
The system employs multi-functional sensors that serve multiple purposes: the main camera captures both subject and surrounding environment information, the illuminance sensor detects both ambient light conditions and subject lighting, and the distance sensor measures both subject distance and surrounding depth. This multi-functionality reduces the need for separate dedicated sensors for each measurement type.
Solution Approach 2:
The patent merges the capture of subject information and surrounding environment information into a single preview image frame. By analyzing the preview image for both subject characteristics and background context simultaneously, the system reduces hardware requirements while maintaining complete information for accurate recommendations.
3Speed
If real-time analysis of preview images is performed to provide recommendations, then the responsiveness and user experience are improved, but the processing time and energy consumption increase
Solution Approach 1:
The system performs partial analysis on the preview image by focusing computational resources on key regions containing the subject and critical surrounding elements. Rather than analyzing the entire image in detail, the AI model concentrates processing on essential areas, reducing energy consumption while maintaining real-time recommendation capability.
Solution Approach 2:
The patent implements preliminary feature extraction from preview images before generating full recommendations. The system pre-processes and extracts key characteristics (subject type, lighting conditions, composition basics) in advance, which are then used to quickly generate recommendations without requiring complete real-time analysis of all image parameters.
Data Source
AI summary
An electronic apparatus and a method by which the electronic apparatus provides recommendation information related to photography are provided. The method includes identifying a subject included in a preview image recognized by a first camera, obtaining information of the identified subject, obtaining information related to light in surroundings of the identified subject, determining a recommended photographing composition based on the information of the identified subject and the information related to the light in the surroundings of the subject, and providing information about the determined recommended photographing composition.