Automatic Image Capture Parameter Adjustment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Digital cameras often require manual user input to enable or disable automatic adjustments of image capture parameters like exposure, focus, and white balance, which can be inconvenient and may not adapt optimally to changing conditions during image capture.
Innovation Solution
A digital camera apparatus with a processor and memory that automatically enables or disables these adjustments based on conditions such as motion sensed by a sensor or changes in image frame content, allowing for seamless switching between image capture states without user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If automatic adjustment of image capture parameters is enabled, then image quality is optimized under changing conditions, but user control and manual adjustment capability are reduced
Solution Approach 1:
The system dynamically switches between automatic and manual adjustment modes based on detected motion or scene changes. The processor monitors sensor data and image frame differences, then automatically enables or disables automatic parameter adjustment accordingly, creating a dynamic adaptation system that responds to real-time conditions.
Solution Approach 2:
The camera system serves itself by automatically detecting when to switch between adjustment modes without requiring user input. The processor analyzes sensor data and image content autonomously to determine whether automatic adjustment should be enabled or disabled, allowing the system to self-regulate its operation based on environmental conditions.
2Ease of operation
If manual user input is required to enable or disable automatic adjustments, then user control is maintained, but operation convenience and responsiveness to changing conditions are reduced
Solution Approach 1:
The system implements a feedback loop where the processor continuously monitors sensor data and image frame content, compares current conditions against previous states, and automatically adjusts the enable/disable state of automatic parameter adjustment based on detected changes. This closed-loop feedback mechanism eliminates the time delay associated with manual user intervention.
Solution Approach 2:
The system performs preliminary detection of motion or scene changes using sensors and image frame analysis before automatic adjustment is needed. By proactively identifying changing conditions and pre-switching the adjustment mode, the system prepares in advance for upcoming parameter adjustment needs, reducing overall response time.
3Adaptability or versatility
If automatic adjustment is always enabled, then image quality is continuously optimized, but device complexity and processing requirements increase
Solution Approach 1:
Instead of continuously performing full automatic adjustment analysis, the system applies partial action by only enabling automatic adjustment when motion or scene changes are detected. During stable conditions, automatic adjustment is disabled, reducing processing requirements. This selective application of automatic adjustment based on actual need optimizes the balance between image quality and processing complexity.
4Device complexity
If automatic adjustment is disabled, then processing complexity is reduced, but adaptability to changing conditions during capture is lost
Solution Approach 1:
The system dynamically adjusts the level of automatic parameter adjustment based on real-time detection of motion or scene changes. During periods of stability, automatic adjustment is disabled to reduce processing complexity. When changes are detected, the system automatically enables adjustment functionality, creating a dynamic balance between processing load and adaptability requirements.
Data Source
AI summary
In one example, a plurality of image frames captured by a digital camera unit is received. It is determined that a condition is met that requires a switch between image capture states. In response, automatic adjustment of at least one image capture parameter without user input is enabled or disabled.