Imaging Apparatus Boundary Target Region Adjustment
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Solution Overview
Problem
Conventional imaging systems face challenges in accurately displaying a user-designated region due to small screen sizes and user haste, leading to potential misdesignation and target region movement.
Innovation Solution
An imaging apparatus with a reception unit for coordinate values, a control unit to adjust the imaging range, and a determination unit to ensure the target region is within the imaging range, using pan, tilt, and zoom mechanisms to fine-tune the view based on user input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of moving object
If a small screen is used for user input, then the device portability is improved, but the user cannot accurately designate the target region
Solution Approach 1:
The patent transitions from 2D screen coordinate input to 3D spatial coordinate system by introducing depth information through distance measurement. The imaging range is adjusted based on measured distance to calculate real-world coordinates, enabling accurate target region designation even on small screens by adding a depth dimension to the coordinate system.
Solution Approach 2:
The patent introduces an imaging range adjustment mechanism as an intermediary between the user's screen input and the final image capture. This intermediary automatically adjusts the imaging range based on measured distance, acting as a mediator that translates imprecise screen coordinates into accurate real-world target regions without requiring precise manual input from the user.
2Speed
If the user designates a region quickly without careful selection, then the operation speed is improved, but the target region may move or be incorrectly designated
Solution Approach 1:
The patent performs preliminary distance measurement and imaging range adjustment before the user finalizes their selection. By pre-calculating the appropriate imaging range based on measured distance, the system prepares the correct view in advance, so when the user quickly designates a region, the target is already properly framed and less likely to move or be misdesignated.
Solution Approach 2:
The patent implements feedback by measuring the distance to the target object and using this information to automatically adjust the imaging range. This feedback loop allows the system to adapt to the actual scene conditions, ensuring that even quick user selections result in accurate target region capture by compensating for imprecision through automated range adjustment.
3Device complexity
If the imaging range is fixed based on screen coordinates, then the system complexity is reduced, but the target region near the boundary cannot be included
Solution Approach 1:
The patent makes the imaging range dynamic by allowing it to adjust automatically based on measured distance and detected target position. Instead of a fixed imaging range determined solely by screen coordinates, the system dynamically modifies the imaging range to ensure the target region is fully included, adding adaptability without significantly increasing system complexity through automated control.
Data Source
AI summary
An imaging apparatus receives a command including a first coordinate value and a second coordinate value, from a client apparatus. A determination unit determines whether or not a target region exists at or near a boundary of an imaging range corresponding to the first coordinate value and the second coordinate value. In a case in which the determination unit determines that the target region exists at the boundary of the imaging range, a control unit adjusts an imaging range to include the target region. In a case in which the determination unit determines that the target region does not exist at the boundary of the imaging range, the control unit sets an imaging range to be captured, to the imaging range corresponding to the first coordinate value and the second coordinate value.