Dynamic Pixel Density Adjustment for Surveillance Under Varying Light
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Solution Overview
Problem
Existing camera surveillance systems fail to maintain optimal pixel density for object identification under changing light conditions, as recommended pixel density requirements are only valid under optimal light conditions, leading to a need for adjusting pixel density to ensure valid object identification.
Innovation Solution
A method that monitors camera settings such as gain and exposure time to detect changes in light conditions, determining a need for adjusting pixel density requirements, and generates control signals to alter the camera's zoom level or trigger events to maintain valid pixel density for object identification, including generating alarms or adjusting light sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If the camera uses higher gain or longer exposure time to compensate for decreasing light levels, then the image quality deteriorates due to increased noise and motion blur, but the pixel density requirement cannot be maintained under optimal conditions
Solution Approach 1:
The system continuously monitors camera settings (gain and exposure time) and uses this information to dynamically adjust the pixel density requirement. When the camera increases gain or exposure time in response to decreasing light levels, the system detects this change and相应 adjusts the pixel density threshold to maintain reliable object identification despite image quality deterioration.
Solution Approach 2:
The system changes the pixel density requirement parameter based on detected changes in camera settings. Instead of maintaining a fixed pixel density threshold, the system adapts this parameter dynamically according to the camera's operational state, allowing valid object identification even when image quality changes due to varying light conditions.
2Measurement precision
If the camera maintains a fixed pixel density requirement, then object identification is valid under optimal light conditions, but the identification becomes unreliable when light conditions change and camera settings are adjusted
Solution Approach 1:
The system transitions from a static, fixed pixel density requirement to a dynamic requirement that automatically adjusts in response to changing light conditions. By continuously monitoring camera settings and adapting the pixel density threshold accordingly, the system maintains measurement precision across varying environmental conditions without requiring manual intervention.
Solution Approach 2:
The system uses feedback from camera setting changes to dynamically adjust the pixel density requirement. When the camera adjusts its gain or exposure time in response to light level changes, the system detects these adjustments and相应 modifies the pixel density threshold to maintain reliable object identification, ensuring both accuracy and adaptability.
3Manufacturing precision
If the camera zooms in to increase pixel density on the object, then the pixel density requirement is met, but the field of view decreases reducing the area under surveillance
Solution Approach 1:
Instead of changing the camera's physical parameters (such as zoom level) to meet pixel density requirements, the system changes the evaluation parameter (pixel density threshold) to adapt to current conditions. This allows the camera to maintain its optimal field of view while the system adjusts its assessment of what constitutes sufficient image quality for reliable identification.
Data Source
AI summary
There is provided a method for determining a need for a change in a pixel density requirement due to changing light conditions. The pixel density requirement specifies a pixel density which enables identification of an object in images captured by a camera. The method comprises receiving and monitoring (S02) a camera setting which is indicative of a light condition to which the camera is subjected and which affects the quality of images captured by the camera, and determining (S06) that there is a need for a change in the pixel density requirement upon detection (S04) of a change in the camera setting. The camera setting includes at least one of a gain and an exposure time used by the camera when capturing images.