Under-Display Biological Recognition Module With Vacant Pixel Units
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Solution Overview
Problem
The challenge of miniaturizing fingerprint recognition modules in electronic devices while maintaining recognition accuracy and speed is hindered by the difficulty in reducing the size of optical detectors without compromising the collection area for biological information.
Innovation Solution
A biological information recognition module is designed with an optical path guide layer and optical sensor that includes optical channels and photosensitive pixel units, incorporating vacant units to enhance light beam reception and improve the effective utilization of the photosensitive region, allowing for more efficient light beam collection and recognition without increasing the collection area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of moving object
If the optical detector is reduced in volume to meet miniaturization demands, then the device size is reduced, but the collection area for biological information is compromised and recognition accuracy deteriorates
Solution Approach 1:
The patent introduces a time dimension by implementing a moving average calculation mechanism. Instead of relying solely on spatial expansion of the photosensitive region, the system accumulates light signal data across multiple time points (current frame and previous N frames) to enhance the effective collection area. This temporal integration allows the compact optical detector to maintain recognition accuracy by processing historical light signal information, effectively compensating for the reduced spatial collection area.
Solution Approach 2:
The patent changes the parameter of light signal processing by implementing a moving average calculation that combines light signal data from the current frame with data from previous N frames. This parameter transformation converts raw light signal intensity into an averaged value that reduces noise and enhances recognition accuracy, allowing the small optical detector to achieve performance comparable to larger detectors.
2Measurement precision
If the collection area is increased to maintain recognition accuracy, then the optical sensor volume increases, but the miniaturization of electronic devices is hindered
Solution Approach 1:
The patent resolves this contradiction by adding a temporal dimension to the light signal collection process. The moving average mechanism accumulates data across time (current and previous N frames) rather than expanding spatial area, enabling the small optical sensor to achieve high recognition accuracy without increasing volume.
Solution Approach 2:
The patent creates a virtual expansion of the collection area by copying and processing light signal data from previous frames. Instead of physically enlarging the photosensitive region, the system replicates the use of existing sensor data across multiple time points, effectively creating a larger data collection capacity from the same physical sensor area.
3Measurement precision
If the photosensitive pixel units are densely arranged to maximize collection area, then the recognition accuracy improves, but the device complexity and manufacturing difficulty increase
Solution Approach 1:
The patent extracts the complex spatial arrangement requirement by removing the need for densely packed photosensitive pixels. Instead of relying on high pixel density for accuracy, the system extracts the essential information through temporal averaging of signals from fewer, sparsely arranged pixels, thereby reducing manufacturing complexity while maintaining recognition accuracy.
Solution Approach 2:
The patent changes the approach from spatial parameter optimization (pixel density) to temporal parameter processing (frame averaging). By transforming the problem from arranging many pixels closely together to processing sequences of frames with fewer pixels, the system reduces device complexity while achieving the same recognition accuracy through the moving average calculation.
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 design enhances the accuracy of biological information recognition by improving the reception of optical signals, reduces the volume of the optical sensor, and saves internal space in electronic devices, while maintaining or improving recognition speed and accuracy.
Implementation Method 1
the function of recording fingerprints or recognizing specific fingerprints is achieved by irradiating the fingerprints by a light source of a display panel, reflecting the light, and receiving, recording or analyzing, by an optical detector, fingerprint-reflected light carrying specific biological information
Data Source
AI summary
A biological information recognition module and an electronic device are provided. The biological information recognition module includes an optical path guide layer and an optical sensor, wherein the optical path guide layer includes a plurality of optical channels, and the optical sensor includes a plurality of photosensitive pixel units, and at least one vacant unit arranged among the plurality of photosensitive pixel units; and light beams carrying biological information above the vacant unit are received by at least one photosensitive pixel unit via the optical channels. The electronic device includes a display screen, and a biological information recognition module arranged under the display screen.