Lens-Sensor Parallelism Judgment via Mark Coordinate Analysis
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Solution Overview
Problem
The increasing resolution of image pickup devices makes it difficult to accurately determine whether the lens and sensing element are parallel, as conventional methods rely on resolution values which are often indistinguishable regardless of alignment, impairing judgment accuracy.
Innovation Solution
An optical analysis method involving a standard image pickup device and an object with marks, where a standard image frame and a tested image frame are compared to assess parallelism by calculating error values between mark coordinates and areas, using a look-up table to determine tilt angles if necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If conventional resolution-based methods are used to judge parallelism, then the method is simple to implement, but the judgment accuracy deteriorates with high-resolution lenses as resolution values become indistinguishable
Solution Approach 1:
The patent changes the measurement parameter from resolution values (MTF) to geometric parameters (coordinates and areas of marks). This parameter transformation allows accurate parallelism judgment for high-resolution lenses by measuring the positions and sizes of known marks rather than relying on resolution contrasts that become indistinguishable at high resolutions.
Solution Approach 2:
The patent introduces marks as intermediary objects placed on the object to be measured. These marks serve as reference points that mediate between the imaging system and the parallelism measurement, enabling precise geometric analysis through coordinate and area measurements of the marks in the captured image.
2Device complexity
If resolution values are used to determine parallelism, then the method requires minimal additional equipment, but the reliability of judgment decreases when lens resolution is significantly enhanced
Solution Approach 1:
The measurement parameter is changed from resolution-based MTF values to geometric parameters (coordinates and areas) of marks. This transformation maintains system simplicity while dramatically improving reliability for high-resolution lenses, as geometric measurements remain distinguishable even when resolution contrasts become indistinguishable.
Solution Approach 2:
The patent uses marks that create a known geometric pattern copy in the image plane. By capturing and analyzing the positions and areas of these mark images, the system reliably determines parallelism through geometric relationships rather than resolution-based measurements, enhancing reliability without significantly increasing system complexity.
3Measurement precision
If mark coordinates and areas are measured to assess parallelism, then the judgment accuracy improves for high-resolution devices, but the measurement and calculation complexity increases
Solution Approach 1:
The patent segments the measurement task into distinct components: detecting mark positions (coordinates), measuring mark sizes (areas), and calculating parallelism from these parameters. This segmentation organizes the complexity into manageable steps, improving measurement precision while making the overall process systematically tractable despite increased complexity.
Solution Approach 2:
The patent performs preliminary actions by pre-defining the mark patterns and their expected geometric relationships. The marks are designed with known coordinates and areas, allowing the system to directly compare measured values against predetermined standards, thereby improving accuracy while reducing the need for complex real-time calculations.
Data Source
AI summary
An optical analysis method is provided for judging whether a lens and a sensing element of an image pickup device are parallel with each other. The method utilizes a tested image pickup device and a standard image pickup device to shoot an object at the same fixed shooting position to acquire a standard image frame and a tested image frame. According to the difference between the position coordinate value or the area of at least one mark of the standard image frame and the tested image frame, the method can judge whether the tested lens and the tested sensing element of the tested image pickup device are parallel with each other.