Automatic Image Capture System with Motion Analysis
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Solution Overview
Problem
Photographers often discard captured images due to issues like subject movement, poor lighting, or inappropriate image settings, as existing technologies do not efficiently capture multiple images or videos without manual mode switching and do not provide immediate feedback on better image or video content.
Innovation Solution
Implementing a system where a camera automatically captures multiple still images and video clips around the time of a capture command, analyzes these for quality, and presents the best image or interesting video segments to the user without manual intervention, using motion and exposure analysis to enhance image quality and detect horizons for stabilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple images and videos are captured automatically around the capture moment, then image quality and selection accuracy are improved, but device complexity increases
Solution Approach 1:
The system segments the capture process into multiple phases: pre-capture images, simultaneous capture, and post-capture images. It separates still image capture from video capture operations, allowing independent optimization of each mode while maintaining coordinated operation through the capture command timing mechanism.
Solution Approach 2:
The system performs preliminary actions by capturing and analyzing images before the formal capture command is executed. Multiple pre-capture images are taken and evaluated to determine optimal capture timing, and the system prepares video capture sequences in advance based on detected motion and scene characteristics.
Solution Approach 3:
The system implements feedback loops where captured images and videos are analyzed in real-time to determine quality metrics. This feedback informs subsequent capture decisions, allowing the system to select the best images and videos based on actual quality assessment rather than predetermined settings.
2Productivity
If automatic image and video capture is implemented without manual mode switching, then productivity is improved, but device complexity increases
Solution Approach 1:
The system merges still image capture and video capture operations into a unified automatic capture sequence. By combining these previously separate manual operations into one integrated process that executes automatically based on a single capture command, the system improves productivity while managing complexity through consolidation.
Solution Approach 2:
The system performs self-service by automatically determining capture parameters, selecting optimal moments for still images and video, and managing the capture sequence without requiring manual intervention. The device analyzes its own captured content to make intelligent decisions about what to capture and how to capture it.
3Measurement precision
If real-time analysis of captured content is performed, then measurement precision is improved, but use of energy increases
Solution Approach 1:
The system applies partial analysis by evaluating only the most critical quality parameters (sharpness, exposure, motion) rather than performing complete analysis of all captured data. It uses excessive sampling by capturing multiple images and video frames beyond what is strictly necessary, then analyzes only the essential features from this redundant data set.
Solution Approach 2:
The system performs preliminary analysis of captured images and videos to quickly determine quality metrics before final selection. By conducting initial quality assessment in advance, the system can make rapid decisions about which content to retain without requiring continuous high-energy analysis throughout the entire capture process.
Data Source
AI summary
Disclosed are techniques that provide a “best” picture taken within a few seconds of the moment when a capture command is received (e.g., when the “shutter” button is pressed). In some situations, several still images are automatically (that is, without the user's input) captured. These images are compared to find a “best” image that is presented to the photographer for consideration. Video is also captured automatically and analyzed to see if there is an action scene or other motion content around the time of the capture command. If the analysis reveals anything interesting, then the video clip is presented to the photographer. The video clip may be cropped to match the still-capture scene and to remove transitory parts. Higher-precision horizon detection may be provided based on motion analysis and on pixel-data analysis.