Camera Autofocus Calibration for Variable Installation Conditions

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Solution Overview

Problem

Existing camera focusing systems fail to provide accurate focusing results due to the lack of consideration for the camera's installation environment, leading to suboptimal image capture.

Innovation Solution

An apparatus and method that utilize distance information and image analysis to calculate and adjust the focus lens position based on focal position tables incorporating correlations between subject distance, zoom level, and camera installation environment, including ambient temperature and posture, to enhance focusing accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If the camera performs focusing using association data representing correlation between distance to subject and focus lens position, then the focusing can be performed automatically, but the focusing accuracy deteriorates because the association data does not reflect installation environment information

Engineering Contradiction:
Improveautomatic focusingVSAvoidfocusing accuracy
Core Design Contradiction:
Extent of automationVSMeasurement precision

Solution Approach 1:

The system performs preliminary actions by capturing reference images at multiple focus lens positions before actual focusing operations. These reference images are stored and used later to calculate transfer functions that account for installation environment characteristics, enabling accurate focusing without requiring real-time environmental measurements during the focusing process itself

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system establishes feedback loops where image analysis results from analyzing subjects in captured images are fed back to adjust and refine the transfer functions. This continuous feedback mechanism allows the system to learn from actual imaging conditions and improve focusing accuracy over time by updating the correlation between distance information and optimal focus lens positions based on real performance data

Inventive Principle:
Principle #23Feedback

2Device complexity

If the camera uses fixed association data for focusing, then the device complexity is reduced, but the adaptability to different installation environments deteriorates

Engineering Contradiction:
Improvefocusing system complexityVSAvoidenvironmental adaptability
Core Design Contradiction:
Device complexityVSAdaptability or versatility

Solution Approach 1:

The system changes parameters by dynamically adjusting transfer functions based on detected installation environment characteristics such as camera mounting position, orientation, and surrounding conditions. Instead of using fixed association data, the system modifies focusing parameters (transfer functions) to adapt to different environments while maintaining a relatively simple hardware structure

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The system introduces dynamics by making the transfer functions adaptable and changeable based on installation environment. Rather than static association data, the focusing parameters can be updated and refined over time through image analysis and feedback mechanisms, allowing the system to adapt to varying conditions without requiring complex hardware reconfiguration

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS20260006330A1Apparatus and method for capturing image
Publication Date: 2026.01.01 HANWHA VISION CO LTD
  • US20260006330A1 patent drawing
  • US20260006330A1 patent drawing
  • US20260006330A1 patent drawing

AI summary

An apparatus for capturing an image includes: a camera including a first lens and configured to generate an image of a subject; a distance determiner configured to determine a distance to the subject; a first focal position calculator configured to calculate a first focal position of the first lens based on the distance to the subject; a second focal position calculator configured to calculate a second focal position of the first lens by analyzing a frequency of an image generated according to adjustment of a position of the first lens; and a controller configured to adjust the position of the first lens based on the first and second focal positions.