Biological Feature Identification Device Moire Pattern Elimination
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Solution Overview
Problem
Current biological feature identification devices often suffer from moire patterns due to the regular arrangement of display pixels and sensing elements, leading to incorrect recognition and low precision image recognition.
Innovation Solution
The device includes a display device and a sensing device with specific spatial frequency relationships, where the display device and sensing device are either parallel or angled relative to each other, and an optical adjusting layer is used to eliminate moire patterns by optimizing the spatial frequency alignment and light transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If display pixels and sensing elements are arranged in regular patterns for easy integration, then device integration is simplified, but moire patterns occur causing incorrect recognition and low precision
Solution Approach 1:
The patent applies asymmetry by arranging sensing elements in an irregular pattern rather than a regular grid, specifically using a triangular lattice arrangement where sensing elements are positioned at non-uniform intervals along scan lines. This asymmetric arrangement breaks the periodicity that causes moire patterns while maintaining manufacturability through systematic design rules for the irregular positioning.
Solution Approach 2:
The patent implements local quality by varying the spacing and arrangement of sensing elements in different regions of the sensing array. Each local region has optimized sensing element positioning tailored to minimize moire interference from the display pixel pattern, allowing different parts of the sensor to have different spatial characteristics suited to their local interference conditions.
2Ease of manufacture
If display pixels and sensing elements are arranged in regular patterns for easy integration, then device integration is simplified, but moire patterns occur causing incorrect recognition
Solution Approach 1:
The patent applies asymmetry by arranging sensing elements in an irregular pattern rather than a regular grid, specifically using a triangular lattice arrangement where sensing elements are positioned at non-uniform intervals along scan lines. This asymmetric arrangement breaks the periodicity that causes moire patterns while maintaining manufacturability through systematic design rules for the irregular positioning.
3Measurement precision
If spatial frequency alignment is optimized to eliminate moire patterns, then image recognition precision is improved, but device complexity increases due to optical adjusting layer
Solution Approach 1:
The patent extracts and addresses the moire pattern problem separately through the optical adjusting layer, which is designed as a distinct component with specific optical properties. By isolating the moire elimination function into this dedicated layer, the rest of the device structure can remain relatively simple while still achieving the precision improvement through the specialized optical adjustment mechanism.
Solution Approach 2:
The optical adjusting layer acts as an intermediary component between the display device and the sensing device. It mediates the optical interaction between these two components by introducing specific optical path differences that eliminate moire patterns, allowing both the display and sensing devices to maintain their original simple structures while achieving improved performance through this intermediate layer.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This configuration effectively eliminates moire patterns, preventing incorrect recognition and improving image recognition precision by satisfying specific spatial frequency criteria.
Implementation Method 1
the regular arrangement of the display pixels and sensing elements may cause moire patterns in the current biological feature identification device
Data Source
AI summary
A biological feature identification device includes a display device and a sensing device. The display device includes multiple pixels arranged along a first direction. The pixels each has a sub-pixel having a display element and a switch element. The sensing device includes multiple sensing units arranged along a second direction. The sensing units each has a sensing element. When the spatial frequency relation is |4*(RE/100)−(1/SU)|>A, the first and second directions are the same, and the biological feature identification device satisfy the criteria: A<|4*(RE/100)−(1/SU)|<B. When the spatial frequency relation is |4*(RE/100)−(1/SU)|≤A, the first and second directions form an angle, and the biological feature identification device satisfy the criteria: A<|4*(RE/100)−{1/[SU*Cos(α)]}|<C. RE is the resolution of the display device, SU is the sensing unit size, α is the angle, 0°<α<90°, B and C>A, and A is not equal to zero.