Camera Capture Range Calculation via Visibility Evaluation
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Solution Overview
Problem
Existing camera technologies fail to accurately determine the capture range where an object can be visually recognized, leading to incomplete confirmation of the camera's coverage and requiring operator input for minimum pixels, which can result in incorrect calculations if incorrect values are used.
Innovation Solution
A device and method that calculate a maximum visually recognizable distance based on image visibility evaluation, contrast, noise information, and the camera's angle of view, providing output information on the range where an object can be visually detected.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the capture range is calculated based on the camera's field of view and distance, then the coverage area is determined, but the visual recognizability of objects cannot be guaranteed due to insufficient resolution
Solution Approach 1:
The patent changes the parameter basis from simple geometric field of view calculation to a multi-parameter model incorporating minimum pixel requirements, object size, and distance. This transforms the capture range determination from a purely spatial parameter to one that includes resolution quality parameters, ensuring objects are visually recognizable.
Solution Approach 2:
The patent replaces the traditional mechanical/optical field of view calculation method with an information-processing approach that uses image processing techniques to evaluate actual visual recognizability. This substitution allows for dynamic adjustment based on real image quality metrics rather than fixed geometric parameters.
2Ease of operation
If the minimum number of pixels required for visual recognition is input by an operator, then the calculation can be performed, but operator error occurs when incorrect values are input
Solution Approach 1:
The system performs self-service by automatically determining the minimum pixel requirements through image processing and analysis, eliminating the need for operator input. The device independently evaluates image quality metrics and calculates appropriate parameters, ensuring both ease of operation and calculation accuracy simultaneously.
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously monitors image quality and adjusts parameters based on actual visual recognition performance. This closed-loop approach ensures that the minimum pixel requirements are dynamically optimized rather than relying on static operator input, improving both reliability and ease of use.
3Area of stationary object
If the capture range is expanded to cover the entire monitoring area, then the coverage is improved, but objects at greater distances cannot be visually recognized due to reduced resolution
Solution Approach 1:
The patent divides the monitoring area into multiple zones based on distance and resolution requirements. Instead of treating the entire area uniformly, it segments the space into regions where different resolution thresholds apply, allowing objects at various distances to be captured with sufficient detail for their respective recognition needs.
Solution Approach 2:
The patent applies local quality by assigning different minimum pixel requirements to different regions of the monitoring area. Objects closer to the camera require fewer pixels while distant objects require more pixels, creating a spatially varying resolution standard that optimizes both coverage and recognizability across the entire monitored space.
Data Source
AI summary
A calculation device includes: an image input unit that receives, as an input, an image acquired by an image acquisition device that photographs a prescribed area; a visibility evaluation unit that calculates an evaluation value showing the visibility of a detection object in the image, on the basis of the contrast of the image and noise information showing the degree of noise included in the image; a calculation unit that calculates a maximum visually recognizable distance, which is the maximum distance from the image acquisition device to the detection object at which the detection object is visually recognized in the image, based on the evaluation value, a value set as the actual size of the detection object in the image, and the image angle of the image acquisition device; and an output unit that generates and outputs output information based on the maximum visually recognizable distance.