Image Capturing Apparatus Framing Adjustment via Past History Storage
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Solution Overview
Problem
Existing automatic image capturing technologies struggle to uniformly capture individuals with various framings, often resulting in deviations in face size and number of images, leading to inconsistent image data.
Innovation Solution
An image capturing apparatus equipped with a processor that utilizes a past history storage unit to store imaging information, including framing data, to determine optimal framing adjustments based on past imaging data, ensuring uniform capture of objects by adjusting zoom and tilt angles to maintain consistent face sizes and image counts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If automatic image capturing is performed without framing adjustment based on past history, then the imaging operation is simple and fast, but the capturing uniformity across different objects deteriorates
Solution Approach 1:
The system performs preliminary framing adjustment by retrieving past imaging information for each detected object and determining optimal framing parameters before capturing the current image. This preliminary action ensures uniform capturing across different objects while maintaining operational simplicity through automated processing.
Solution Approach 2:
The system uses past imaging information as feedback to automatically adjust framing for current captures. By referencing historical data about each object's optimal framing parameters, the system achieves consistent capturing uniformity without requiring manual intervention, thus improving precision without proportionally increasing complexity.
2Manufacturing precision
If framing is adjusted based on past imaging information, then capturing uniformity improves, but the processing time and operational complexity increase
Solution Approach 1:
Framing parameters are determined in advance by retrieving stored past imaging information before the actual capture occurs. This preliminary determination of optimal framing based on historical data ensures consistent face size across captures while minimizing processing time during the actual imaging operation.
Solution Approach 2:
The system copies relevant framing parameters from past imaging records of the same object and applies them to current captures. This copying approach maintains face size consistency efficiently by reusing proven parameters rather than performing complex real-time calculations, thus improving precision without significant time loss.
3Adaptability or versatility
If the same framing is used for all objects, then the operation is simple, but the adaptability to different objects and framings deteriorates
Solution Approach 1:
The system retrieves past imaging information specific to each detected object as feedback to determine appropriate framing. This feedback mechanism enables the system to adapt framing parameters to each object's characteristics automatically, achieving high framing adaptability while keeping the operation simple through automated decision-making based on historical data.
Solution Approach 2:
The system performs self-service by automatically determining optimal framing for each object using its own stored past imaging information. This self-service capability enables the system to adapt to different objects and framing requirements autonomously without external intervention, achieving versatility while maintaining operational simplicity through automated processing.
Data Source
AI summary
An image capturing apparatus includes an image pickup device configured to output image data and at least one processor programmed to perform operations of a past history storage unit configured to store imaging information about each object, the imaging information including framing information about past imaging of each object, an acquisition unit configured to acquire object information based on the image data and a determination unit configured to determine a framing in execution of an imaging operation. The determination unit determines the framing in execution of the imaging operation according to past imaging information stored in the past history storage unit and the object information.