Adjustable Polarization Filters for Reference Pattern Recognition

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Solution Overview

Problem

Existing camera systems without dedicated lenses or sensors face challenges in reliable reference pattern recognition under challenging lighting conditions due to overexposure and reflections, leading to increased error rates and detection gaps, while high-resolution cameras with dedicated components are bulky, costly, and prone to artifacts like vignetting and optical distortion.

Innovation Solution

A system with adjustable polarization filters controlled by a processing unit to optimize image quality by reducing exposure and reflections, using AI for dynamic adjustment of filter positions and camera settings.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If high-resolution cameras with dedicated sensors and lenses are used, then image quality and reference pattern detection accuracy are improved, but device size, weight, and cost increase significantly

Engineering Contradiction:

Improvereference pattern detection accuracyVSAvoidcamera system weight

Core Design Contradiction:

Measurement precisionVSWeight of stationary object

Solution Approach 1:

A polarizing filter is introduced as an intermediary component between the light source and the camera sensor. This filter selectively blocks polarized reflections while allowing reference pattern light to pass through, thereby improving detection accuracy without requiring high-resolution dedicated camera hardware.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system changes the polarization state parameter of light by using a polarizing filter. This parameter change allows the system to differentiate between reference pattern light and reflected light, improving detection accuracy while using standard camera hardware.

Inventive Principle:

Principle #35Parameter changes

2Weight of stationary object

If standard cameras without dedicated lenses or sensors are used, then device size and cost are reduced, but image quality deteriorates under challenging lighting conditions due to overexposure and reflections

Engineering Contradiction:

Improvecamera system weightVSAvoidoverexposure and reflections

Core Design Contradiction:

Weight of stationary objectVSObject-affected harmful factors

Solution Approach 1:

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system converts the harmful effect of polarized reflections into a beneficial filtering mechanism. By using a polarizing filter, the reflections that would normally degrade image quality are blocked, while the reference pattern light is allowed to pass through, turning the polarization property from a source of harm into a solution.

Inventive Principle:

Principle #22Blessing in disguise (Convert harm into benefit)

3Object-affected harmful factors

If manually adjustable filters or on-board preprocessing software are used, then image quality is improved, but device complexity and operational difficulty increase

Engineering Contradiction:

Improvelighting condition susceptibilityVSAvoidfilter adjustment mechanism

Core Design Contradiction:

Object-affected harmful factorsVSDevice complexity

Solution Approach 1:

The system uses the camera's existing processing unit to automatically control the polarizing filter and perform image processing. The processing unit self-manages the filter adjustment based on detected lighting conditions and reference pattern visibility, eliminating the need for manual intervention while improving image quality.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system implements a feedback loop where the processing unit continuously monitors image quality and reference pattern detection success. Based on this feedback, the polarizing filter is dynamically adjusted to optimize performance, automatically adapting to changing lighting conditions without manual intervention.

Inventive Principle:

Principle #23Feedback

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

Enables cost-effective and reliable reference pattern recognition under varying lighting conditions, reducing errors and improving detection accuracy without the need for specialized hardware.

Implementation Method 1

at least two polarization filters P1, P2 are arranged one behind the other in the direction of the image axis... the polarization planes of the at least two polarization filters P1, P2 are adjusted relative to each other

Methodology Applied

Scientific EffectPolarization: Polarisation

Data Source

PatentEP4708212A1System for improved reference pattern recognition

Publication Date: 2026.03.11 TECH HOCHSCHULE KOLN KORPERSCHAFT DES OFFENTLICHEN RECHTS

AI summary

The invention relates to a system (1) for improved reference pattern recognition comprising an optical sensor (K), wherein at least two polarization filters (P1, P2) are arranged one behind the other in the direction of the image axis of the optical sensor, wherein the at least two polarization filters (P1, P2) are adjustable relative to each other, wherein at least one of the polarization filters (P1, P2) is electrically controllable for the purposes of adjustment, wherein the system further comprises a processing unit (uC) which, depending on an image captured by the optical sensor (K) and at least one further setting of the optical sensor (K), controls the at least one electrically controllable polarization filter (P1, P2) such that the polarization planes of the at least two polarization filters (P1, P2) are adjusted relative to each other when no reference pattern is recognized in the captured image.