Auto-Focusing Lens Assembly Position Detection
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Solution Overview
Problem
Current methods for detecting whether an auto-focusing lens assembly in digital cameras is installed at an accurate position are manual, time-consuming, labor-intensive, and lack a uniform standard, leading to inefficiencies and potential damage during delivery and assembly.
Innovation Solution
A detection method and device that automatically assess the alignment of the auto-focusing lens assembly by moving it to a specific distance from a subject, stabilizing exposure, locking exposure parameters, capturing an image, determining corner region sizes and luminance values, and comparing these values to ensure accurate installation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual detection method is used for lens assemblies, then detection can be performed with simple equipment, but detection efficiency is low and time-consuming
Solution Approach 1:
The patent replaces manual mechanical detection with an automated optical detection system. The lens assembly detection is performed by capturing images through the lens and analyzing corner luminance values automatically, eliminating the need for manual inspection while significantly improving detection efficiency and consistency.
2Ease of manufacture
If manual detection is used, then labor cost is high, but equipment investment is low
Solution Approach 1:
The detection system performs self-service by automatically capturing images, calculating corner luminance values, and determining lens installation accuracy without human intervention. The system processes multiple lens assemblies sequentially through automated image analysis, improving detection speed while maintaining implementation simplicity through standardized algorithms.
3Measurement precision
If lens assemblies are detected manually one by one, then detection can be performed individually, but uniform detection standard cannot be applied
Solution Approach 1:
The patent uses luminance value parameters of corner regions as the detection criterion. By capturing images and calculating the luminance values of four corner regions, the system objectively measures lens installation accuracy. This parameter-based approach ensures uniform detection standards are applied consistently across all lens assemblies, improving measurement precision.
4Productivity
If automated detection is implemented, then detection efficiency is improved, but detection system complexity increases
Solution Approach 1:
The detection system uses a camera that can serve multiple functions: capturing images for analysis and potentially other imaging tasks. The same imaging device is used for both detection and potential documentation purposes, reducing overall system complexity while maintaining high detection throughput through automated image processing algorithms.
Data Source
AI summary
The present disclosure provides a detection method and a detection device for a digital camera. The detection method includes: Step 1 of moving the to-be-detected auto-focusing lens assembly to a position spaced apart from a subject by a first distance; Step 2 of performing automatic exposure control until an average luminance value of a central region of an image is in a stable state; Step 3 of locking an automatic exposure control parameter; Step 4 of taking a first image; Step 5 of determining sizes of four corner regions in the first image; Step 6 of counting average luminance values of the four corner regions; and Step 7 of, in the case that the average luminance values of the four corner regions are identical to each other, determining that the to-be-detected auto-focusing lens assembly is installed at an accurate position. According to the present disclosure, it is able to detect where or not the auto-focusing lens assembly is installed at the accurate position in an automatic and efficient manner.