Texture Recognition Sensor Stack Against Ambient Light and Static

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Solution Overview

Problem

Existing texture recognition devices face interference from ambient light and static electricity, which affects the accuracy of skin texture recognition, particularly in fingerprint and palmprint identification.

Innovation Solution

A texture recognition device comprising a backlight component and a photosensitive component with an antistatic layer and a light filter layer, where the antistatic layer prevents static interference and the light filter layer filters out ambient light, enhancing recognition accuracy by using a prism structure to collimate light and a drive circuit to manage sensor operation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If a photosensitive component is used to detect light for texture recognition, then texture recognition capability is achieved, but the device becomes susceptible to interference from ambient light and static electricity

Engineering Contradiction:

Improvetexture recognition accuracyVSAvoidambient light interference and static electricity interference

Core Design Contradiction:

Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

An antistatic layer is introduced as an intermediary component between the photosensitive sensors and the external environment. This layer acts as a mediator that blocks static electricity interference while allowing light to pass through, thereby protecting the photosensitive component without compromising its detection function

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The device structure is segmented into distinct functional layers: a photosensitive component layer for light detection and an antistatic layer for electrostatic protection. This segmentation allows each layer to specialize in its specific function - the photosensitive layer focuses on detecting reflected light patterns while the antistatic layer handles electrostatic interference, improving overall system performance

Inventive Principle:

Principle #1Segmentation

2Adaptability or versatility

If the photosensitive component is exposed to ambient light, then the device can operate in various lighting conditions, but recognition accuracy deteriorates due to light interference

Engineering Contradiction:

Improveoperation in various lighting conditionsVSAvoidrecognition accuracy

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The antistatic layer is designed with specific local properties - it is transparent to the wavelength range used for texture recognition while blocking static electricity. This local quality optimization allows the layer to selectively permit useful light transmission while filtering out harmful electrostatic interference, maintaining both adaptability and precision

Inventive Principle:

Principle #3Local quality

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

The device effectively prevents static interference and ambient light interference, improving the accuracy of texture recognition, enabling high-resolution large-area texture recognition suitable for identity verification in various applications.

Implementation Method 1

a light filter layer on a side, away from the plurality of photosensitive sensors, of the antistatic layer, and the light filter layer is configured to filter light with a wavelength of 580 nm to 1100 nm

Methodology Applied

Scientific EffectLight filtering: Absorption (EM radiation)

Implementation Method 2

the first prism structure is configured to collimate the light emitted from the surface light source to the direction perpendicular to the surface of the texture recognition device by refraction

Methodology Applied

Scientific EffectRefraction: Refraction

Implementation Method 3

the photosensitive component is on a light-outputting side of the backlight component and configured to detect light emitted by the backlight component and reflected by a texture of a detection object

Methodology Applied

Scientific EffectPhotoelectric detection: Photoelectric Effect

Data Source

PatentUS11908226B2Texture recognition device and manufacturing method thereof

Publication Date: 2024.02.20 BEIJING BOE SENSOR TECH CO LTD

AI summary

A texture recognition device and a manufacturing method thereof are provided. The texture recognition device includes a backlight component and a photosensitive component. The photosensitive component is on a light-outputting side of the backlight component and configured to detect light emitted by the backlight component and reflected by a texture of a detection object to recognize an image of the texture of the detection object. The photosensitive component includes a plurality of photosensitive sensors and an antistatic layer on a side, away from the backlight component, of the plurality of photosensitive sensors, and orthographic projections of the plurality of photosensitive sensors on a plane where the antistatic layer is located are within the antistatic layer.