Camera Module Calibration Using Sampling Points and Interpolation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Camera modules with zooming functions face challenges in minimizing memory storage for lens movement data, maintaining movement accuracy, and adapting to actuator characteristics that change over time, leading to increased memory size, manufacturing costs, and reduced data accuracy.
Innovation Solution
A camera device calibration method that acquires and stores sampling data for specific location points, uses interpolation to determine location values for other points, and updates data based on image contrast to ensure accurate focusing, minimizing memory usage and improving lens movement accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all calibration data for all zoom arrangements is stored in the storage unit, then autofocus accuracy is improved, but memory size increases and manufacturing cost increases
Solution Approach 1:
The patent segments the complete calibration data into multiple groups based on zoom magnification ranges. Each group contains calibration data for a specific zoom range, allowing the system to store only the necessary subset of calibration data in memory at any given time, thereby reducing overall memory requirements while maintaining autofocus accuracy for the active zoom range
Solution Approach 2:
The patent implements a dynamic calibration data management system that automatically loads, stores, and switches between different calibration data groups based on the current zoom magnification. This dynamic approach allows the system to maintain high autofocus accuracy by having the correct calibration data available while minimizing memory usage by only keeping relevant data subsets in storage
2Measurement precision
If calibration data for all distances is stored, then data accuracy is improved, but manufacturing complexity increases
Solution Approach 1:
The patent divides calibration data into multiple groups corresponding to different zoom magnification ranges. Each group contains distance-specific calibration data, allowing the system to maintain high data accuracy for each distance category while simplifying the manufacturing process by working with smaller, more manageable data subsets rather than requiring complete calibration across all possible conditions simultaneously
3Device complexity
If spring or ball-based actuators are used for lens movement, then device complexity is reduced, but movement accuracy deteriorates due to characteristic changes with use
Solution Approach 1:
The patent implements a feedback mechanism that continuously monitors actual lens positions and compares them against expected positions based on calibration data. When deviations occur due to actuator characteristic changes from repeated use, the system detects these errors and compensates by adjusting subsequent lens movement commands, thereby maintaining movement accuracy despite using simpler spring or ball-based actuators
Data Source
AI summary
A camera device calibration method according to one embodiment comprises the steps of: acquiring first data including location values of a first zoom lens and location values of a first focus lens, corresponding to the location values of the first zoom lens; setting at least two location points of the first zoom lens; acquiring at least two location values, which correspond to the location values of the first focus lens corresponding to at least two location points of the first zoom lens; acquiring second data corresponding to a value between at least two location values of the first zoom lens; and setting, in a camera including the first zoom lens and the first focus lens, at least two location values of the first zoom lens and the first focus lens when a difference value, which is acquired by comparing the first data with the second data, is within a preset threshold range.