Lens Occlusion Judgment Using Depth Images in Low Light

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Solution Overview

Problem

Existing lens occlusion judgment systems in low light environments often misjudge the state of a lens, leading to incorrect reminders about occlusion, which can confuse users.

Innovation Solution

An occlusion judgment system utilizing a pre-processing unit for image enhancement, a depth image generating unit, and a judgment unit to determine lens state based on depth images, employing techniques like histogram equalization and depth estimation neural networks to improve accuracy in low light conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional occlusion judgment methods are used in dark environments, then the system can operate, but misjudgment occurs and accuracy deteriorates

Engineering Contradiction:
Improveocclusion judgment accuracyVSAvoidenvironmental light conditions
Core Design Contradiction:
ReliabilityVSIllumination intensity

Solution Approach 1:

The patent transforms the occlusion judgment from 2D image analysis to 3D depth-based analysis. By computing depth maps from images and analyzing depth values, the system can accurately distinguish occlusion states even in dark environments where traditional 2D visual methods fail. This dimensional transition to depth space resolves the contradiction between reliability and illumination intensity.

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

Solution Approach 2:

The patent changes the judgment parameter from visual appearance (affected by lighting) to depth information (invariant to lighting). By using depth map computation and analyzing depth value distributions, the system maintains high accuracy regardless of illumination conditions, effectively resolving the contradiction between judgment reliability and environmental light intensity.

Inventive Principle:
Principle #35Parameter changes

2Measurement precision

If depth image computation is performed, then judgment accuracy is improved, but system complexity increases

Engineering Contradiction:
Improvelens state detection accuracyVSAvoidprocessing system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the processing system into distinct functional modules: pre-processing unit for image enhancement, depth map computation unit for depth extraction, and judgment unit for occlusion determination. This segmentation manages complexity by organizing the sophisticated depth-based analysis into manageable, specialized components, allowing high measurement precision while controlling system complexity through modular design.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent performs preliminary image pre-processing (histogram equalization, noise reduction) before depth map computation to enhance image quality and facilitate more accurate depth extraction. This preliminary action improves the input quality for subsequent depth-based judgment, achieving high measurement precision while the pre-processing steps are organized as standardized operations that manage overall system complexity.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20260067561A1Occlusion judgment system, occlusion judgment method, computer readable recording medium with stored program, and non-transitory computer program product
Publication Date: 2026.03.05 REALTEK SEMICON CORP
  • US20260067561A1 patent drawing
  • US20260067561A1 patent drawing
  • US20260067561A1 patent drawing

AI summary

An occlusion judgment system, an occlusion judgment method, a computer readable recording medium with a stored program, and a non-transitory computer program product are provided. The occlusion judgment system includes: a pre-processing unit configured to receive an image from a lens and perform a pre-processing procedure on the image to obtain a pre-processed image; a depth image generating unit configured to perform a depth image computation procedure on the pre-processed image to obtain a depth image; and a judgment unit configured to determine a lens state of the lens based on the depth image.