Camera Lens Offset Deviation Calculation System
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Solution Overview
Problem
Handheld electronic devices with integrated cameras face issues of lens axis deviation due to defects, leading to misalignment with the sensor, causing lens shading, vignetting, and difficulty in focusing, which results in misinterpreted results. There is a need for a system to accurately calculate and alert on lens offset deviation in pixels from the sensor center.
Innovation Solution
A system comprising a camera module, tracing, threshold, dilation, extraction, resolution generation, and alert modules, which captures images, converts them to grayscale, applies noise reduction, extracts lens contours using convex hull methods, generates reference lines, determines center offset, and alerts users to deviations, ensuring precise lens alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If lens calibration is performed manually to adjust focus, then alignment can be achieved, but the process becomes time-consuming and prone to human error
Solution Approach 1:
The system enables self-service calibration by automatically detecting lens position, calculating offset deviations, and guiding adjustments without requiring manual intervention or expert operation. The automated feedback loop allows the lens alignment system to calibrate itself, eliminating time-consuming manual procedures while maintaining high precision through computer vision and real-time deviation calculation.
2Productivity
If automated detection systems are implemented to measure lens offset, then measurement speed increases, but system complexity increases
Solution Approach 1:
The patent replaces complex mechanical measurement systems with an optical-computational approach using camera modules, image processing algorithms, and automated deviation calculation. This substitution achieves high-speed detection through software-based image analysis rather than mechanical scanning, maintaining productivity while reducing mechanical complexity through digital signal processing and coordinate transformation methods.
3Measurement precision
If high-precision lens alignment is achieved through manual adjustment, then measurement accuracy improves, but the difficulty of operation increases
Solution Approach 1:
The system implements automated feedback by continuously monitoring lens position through image capture, calculating offset deviations in real-time, and providing guidance for adjustment. This feedback loop maintains high measurement precision through automated coordinate transformation and deviation calculation, while dramatically improving ease of operation by eliminating the need for operators to manually measure and calculate offsets, requiring only simple adjustments based on system guidance.
Data Source
AI summary
A system for calculating a camera lens offset deviation is provided. The system includes a camera module configured to be enclosed within a translucent filter, a tracing module that traces a field of view in coverage of a camera lens, a threshold module that converts the grayscale image into a binary image, a dilation module that uses a translucent filter positioned in front of the camera lens for noise reduction, a contour module plots the high-intensity pixels in the threshold image, an extraction module extracts an external point of the lens image, a resolution generation module generates a resolution of a camera sensor and plots a reference line, a determination module determines a center of the circle using a fit ellipse, plots a plurality of deviation axis lines and compares them with the reference thereby obtaining the offset deviation, an alert module alerts the user about the lens offset deviation.