Imaging System Automatic Condition Setting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing imaging technologies struggle to set optimal imaging conditions for location, date, and weather, making it difficult for photographers to capture high-quality images, especially for beginners, as they require manual adjustment of settings like white balance and shutter speed.
Innovation Solution
An imaging system that analyzes imaging information such as location, date, and weather to automatically set appropriate imaging conditions, including white balance, luminosity, and chroma, using a database to retrieve and apply corresponding imaging condition information for optimal image capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual setting of imaging conditions is used, then imaging quality can be optimized for specific situations, but operation complexity increases and beginners cannot easily capture high-quality images
Solution Approach 1:
The imaging system automatically analyzes imaging information (location, date, weather) and retrieves corresponding optimal imaging conditions from the database without requiring manual user input. The system serves itself by autonomously selecting and applying appropriate settings such as white balance, luminosity, and chroma based on the analyzed conditions.
Solution Approach 2:
Optimal imaging conditions are pre-calculated and stored in the database for various imaging situations (different locations, dates, weather conditions). When imaging occurs, the system simply retrieves the pre-prepared conditions rather than calculating them in real-time, enabling quick automatic application of optimal settings.
2Manufacturing precision
If multiple imaging conditions are pre-set for different situations, then imaging quality improves, but device complexity and difficulty of setting increase
Solution Approach 1:
A single database structure serves multiple functions by storing optimal imaging conditions for various parameters (white balance, luminosity, chroma, shutter speed, iris) across different imaging situations (locations, dates, weather). The system universally handles diverse imaging conditions through one integrated database rather than separate settings for each parameter.
Solution Approach 2:
The database acts as an intermediary between the imaging information analysis and the actual imaging condition application. Instead of directly managing complex settings, the system uses the database as a mediator to store, retrieve, and provide optimal conditions, simplifying the overall system architecture.
3Ease of operation
If automatic retrieval of imaging conditions based on location, date, and weather is implemented, then ease of operation improves, but system complexity increases
Solution Approach 1:
The system segments the imaging condition management into distinct functional modules: imaging information obtainment (GPS, calendar, weather), imaging information analysis (object and situation recognition), database storage, and condition application. This segmentation allows each module to handle specific tasks independently, managing complexity through modular design.
Data Source
AI summary
An imaging unit (1) images an object to be imaged and acquires image data. On the other hand, an imaging information acquisition unit (2) acquires imaging information as information during imaging. A storage unit (3) contains optimal imaging condition information induced from the imaging information. An imaging information analysis unit (4) analyzes the imaging information given from the imaging information acquisition unit (2) and reads out imaging condition information optimal for imaging from the storage unit (3). An imaging condition setting unit (5) sets the imaging condition of the imaging unit (1) according to the imaging condition information obtained by the imaging condition information acquisition unit (4).