Camera Module Lens Adjustment for Image Quality Compensation
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Solution Overview
Problem
Current camera module production faces challenges in achieving high image quality due to image plane inclination, field curvature, and other factors, leading to increased manufacturing costs and yield loss, as existing methods require precise assembly and high-quality lenses, making it difficult to meet high-resolution requirements efficiently.
Innovation Solution
A method for compensating image quality in optical systems through lens adjustment, where image quality parameters like image plane inclination and field curvature are quantitatively calculated to adjust lenses accurately and efficiently, allowing for real-time correction of image quality issues during assembly, reducing the need for precise component tolerances and simplifying the production process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional assembly methods with strict tolerance control are used, then image quality can be ensured, but manufacturing costs increase and productivity decreases
Solution Approach 1:
The patent applies preliminary action by pre-calculating the optimal position of each lens element before assembly. The computer calculates target positions based on initial imaging information, allowing lenses to be positioned accurately during assembly without requiring complex real-time adjustments or strict tolerance control during the assembly process itself.
Solution Approach 2:
The patent replaces mechanical precision control with computational methods. Instead of relying on mechanical tolerance control and physical adjustment mechanisms, the system uses computer-based optical path calculation and digital image processing to determine and compensate for assembly deviations, substituting mechanical precision requirements with computational correction.
2Manufacturing precision
If high-quality lenses with strict tolerances are used, then image quality improves, but manufacturing costs increase
Solution Approach 1:
The patent applies parameter changes by using computational optimization to determine optimal lens positions and configurations. The computer calculates precise positioning parameters based on the specific optical system being assembled, allowing standard lenses to be optimized for high performance through precise positioning rather than requiring expensive high-precision lenses.
Solution Approach 2:
The patent creates a digital model of the optical system and its imperfections, then uses this virtual copy to calculate compensation strategies. The computer simulates the optical path and imaging results digitally, allowing optimization of lens positions without physically testing multiple configurations, thereby reducing the need for expensive trial-and-error prototyping.
3Measurement precision
If image quality is tested after assembly, then defects can be detected, but yield loss increases due to inability to predict quality before testing
Solution Approach 1:
The patent implements feedback by using the initially captured imaging information to calculate and adjust lens positions. The system captures test images, processes them computationally to assess image quality, and uses this feedback to determine optimal positioning for subsequent assemblies or rework, preventing defective products from proceeding further in the production line.
Solution Approach 2:
The patent performs preliminary quality assessment by capturing and analyzing imaging information early in the process. The computer calculates expected image quality based on initial lens positions and imaging data, allowing prediction of final product quality before complete assembly is finalized, enabling early identification and correction of potential defects.
4Manufacturing precision
If multiple lenses are adjusted separately to meet design requirements, then image quality can be optimized, but adjustment complexity increases
Solution Approach 1:
The patent merges the adjustment process by using a single computational algorithm to determine optimal positions for multiple lenses simultaneously. The computer calculates target positions for all lenses based on overall optical path requirements rather than adjusting each lens independently through complex iterative procedures, simplifying the adjustment process while maintaining image quality optimization.
Data Source
AI summary
The present disclosure discloses a method for compensating for image quality of an optical system by means of a lens adjustment, applicable to a camera module comprising an adjustable lens or an adjustable lens set, the method comprising the following steps: (A) determining, based on imaging information of a to-be-adjusted optical system, parameters that need to be adjusted for compensating for the image quality; (B) establishing functions of relation between the parameters that need to be adjusted for compensating for the image quality and a to-be-adjusted lens factors; and (C) determining an adjustment mode and an adjustment amount for the to-be-adjusted lens based on the relation between the parameters that need to be adjusted for compensating for the image quality and the to-be-adjusted lens factors. Whereby, the present disclosure implements the accurate adjustment of the camera module by using an optical method during assembly and production, has high adjustment precision and high efficiency, can meet the production requirements such as high quality, low costs and high efficiency, and improves the image quality of the optical system.