Multi-Spectral Image Sensor Layout for Biometric Spoof Detection
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Solution Overview
Problem
Biometric devices struggle to distinguish between real and fake human characteristics, particularly as fake human characteristics made from artificial materials can mimic real ones, due to their reliance on visible light imaging.
Innovation Solution
Incorporating a semiconductor device with both near infrared and visible light photoelectric conversion elements, along with a light-adjusting structure that includes patterned multi-films and light filter portions, to capture images under different light spectrums, allowing for differentiation between real and fake human characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visible light imaging is used, then the device complexity is low, but the measurement precision is insufficient to distinguish real and fake human characteristics
Solution Approach 1:
The patent combines multiple photoelectric conversion elements with different spectral response characteristics (visible light, near-infrared, and short-wavelength infrared detectors) into a single semiconductor device. This merging of multiple detection capabilities within one device enables comprehensive spectral analysis for enhanced identification accuracy while maintaining integrated device architecture
Solution Approach 2:
The semiconductor device is designed with multi-functional photoelectric conversion elements that can detect different wavelengths of light (visible, near-infrared, and short-wavelength infrared). This universal detection capability allows the device to analyze both real and fake human characteristics across multiple spectral ranges, significantly improving measurement precision without requiring multiple separate devices
2Measurement precision
If multiple photoelectric conversion elements are added, then the measurement precision is improved, but the device complexity increases
Solution Approach 1:
The patent segments the photoelectric conversion functionality into distinct elements with specialized spectral responses. By dividing the detection task across multiple photoelectric conversion elements (visible light detectors, near-infrared detectors, and short-wavelength infrared detectors), each element can be optimized for its specific wavelength range, improving overall measurement precision while maintaining manageable device complexity through functional segmentation
Solution Approach 2:
Different regions of the semiconductor device are assigned different photoelectric conversion elements with specific spectral sensitivities. The visible light detectors, near-infrared detectors, and short-wavelength infrared detectors are strategically positioned to capture different spectral information from the target object, enabling localized optimization of detection capabilities across the device structure
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
Enhances the safety of biometric devices by enabling effective differentiation between real and fake human characteristics through the use of near infrared and visible light imaging, improving identification accuracy.
Implementation Method 1
a plurality of first photoelectric conversion elements... used for sensing near infrared light
Implementation Method 2
a plurality of second photoelectric conversion elements... used for sensing visible light
Implementation Method 3
a plurality of light filter portions disposed in the trenches
Data Source
AI summary
A semiconductor device is provided. The semiconductor device includes a substrate having a plurality of first photoelectric conversion elements and a plurality of second photoelectric conversion elements. The semiconductor device also includes a light-adjusting structure disposed on the substrate. The light-adjusting structure includes a patterned multi-film having a plurality of trenches that correspond to the first photoelectric conversion elements. The first photoelectric conversion elements are used for sensing near infrared light, and the second photoelectric conversion elements are used for sensing visible light.