Image Sensor Near-Infrared Visible Light Pixel Array

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Solution Overview

Problem

Conventional image sensors require impractical physically moveable IR filters to achieve both visible light and near-infrared sensitivity, necessitating a cost-effective solution for simultaneous visible and near-infrared light sensitivity.

Innovation Solution

The implementation of image sensors with specific color filter patterns and pixel layouts that integrate both visible light and near-infrared sensitivity, allowing for custom-free processing and efficient signal processing to combine visible and near-infrared light information into a single output.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If a physically moveable IR filter is used to obtain near-infrared and visible light sensitivity, then both spectral ranges can be captured, but the device complexity and manufacturing cost increase significantly

Engineering Contradiction:
Improvespectral sensitivity rangeVSAvoidfilter mechanism complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The pixel array is segmented into distinct near-infrared pixel groups and visible light pixel groups with different color filter patterns. NIR pixels use a first color filter pattern optimized for near-infrared transmission, while visible light pixels use a second color filter pattern optimized for visible spectrum transmission. This segmentation allows each pixel type to be optimized for its specific spectral range without requiring complex moveable filters.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Instead of using a moveable filter in the optical path (spatial dimension), the patent transitions to a fixed pixel-level filtering approach where different color filter patterns are assigned to different pixel groups in the array. This dimensional change from optical path filtering to sensor array patterning eliminates the need for mechanical filter components.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Measurement precision

If custom pattern processing is implemented to handle mixed pixel outputs, then accurate image reconstruction is achieved, but processing complexity and computational requirements increase

Engineering Contradiction:
Improveimage reconstruction accuracyVSAvoidprocessing circuitry complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The color filter patterns are pre-configured in a specific repeating 2×2 unit cell arrangement during sensor manufacturing. This preliminary arrangement of filters ensures that the raw pixel outputs follow a predictable, regular pattern that can be easily decoded by standard processing circuitry, eliminating the need for complex custom processing algorithms.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent uses a repeating unit cell pattern throughout the pixel array, creating homogeneity in the filter distribution. This uniform repeating pattern allows standard image processing algorithms to efficiently handle the data without requiring pixel-specific or region-specific processing logic, thereby reducing overall processing complexity.

Inventive Principle:
Principle #33Homogeneity

3Adaptability or versatility

If separate color filter patterns are used for NIR and visible light pixels, then spectral selectivity is improved, but manufacturing precision requirements increase

Engineering Contradiction:
Improvespectral selectivityVSAvoidfilter pattern alignment precision
Core Design Contradiction:
Adaptability or versatilityVSManufacturing precision

Solution Approach 1:

The patent employs asymmetric color filter patterns within the 2×2 unit cell structure, where specific positions are assigned to NIR-optimized filters and visible light-optimized filters. This asymmetric but regular arrangement provides clear spectral selectivity while maintaining a simple repeating pattern that is tolerant to manufacturing variations.

Inventive Principle:
Principle #4Asymmetry

Solution Approach 2:

The color filter structures serve dual purposes: they provide spectral filtering for their designated wavelength ranges while simultaneously forming a regular repeating pattern that simplifies manufacturing. The same basic filter structure is repeated throughout the array with only positional variations, allowing standardized fabrication processes to achieve both spectral selectivity and pattern accuracy.

Inventive Principle:
Principle #6Universality (Multi-functionality)

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 approach enables image sensors to capture both visible and near-infrared light without the need for custom pattern processing, maintaining performance in various lighting conditions while minimizing additional processing requirements and costs.

Implementation Method 1

The image pixels contain a photodiode for generating charge in response to light

Methodology Applied
Scientific EffectPhotoelectric effect: Photoelectric Effect

Data Source

PatentUS10283545B2Image sensor with near-infrared and visible light pixels
Publication Date: 2019.05.07 SEMICON COMPONENTS IND LLC
  • US10283545B2 patent drawing
  • US10283545B2 patent drawing
  • US10283545B2 patent drawing

AI summary

An image sensor may include an array of imaging pixels and an array of color filter elements that covers the array of imaging pixels. The array of imaging pixels may include visible light pixels that are covered by visible light color filter elements and near-infrared light pixels that are covered by near-infrared light color filter elements. The imaging pixels may be arranged in a pattern having a repeating 2×2 unit cell of pixel groups. Each pixel group may include a visible light pixel sub-group and a near-infrared light pixel sub-group. Signals from each pixel group may be processed to determine a representative value for each pixel group that includes both visible light and near-infrared light information.