Camera Abnormality Detection Using Dual Imaging Ranges

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing techniques face challenges in accurately determining windshield fogging or camera abnormalities in vehicles due to varying brightness distributions caused by environmental factors, making it difficult to differentiate between camera failures and foreign substances.

Innovation Solution

An image processing apparatus with a first and second receiver and a controller that compares the imaging ranges of outdoor and indoor camera images to determine abnormalities, using luminance histograms and ratios to differentiate between camera failures and foreign substances on the windshield or optical systems.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If a single camera is used to determine windshield fogging or camera abnormalities, then the device complexity is reduced, but the measurement precision deteriorates due to inability to differentiate between camera failures and foreign substances

Engineering Contradiction:
Improvenumber of camerasVSAvoidabnormality detection accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent combines data from multiple cameras (outdoor camera and indoor camera) to perform joint analysis. The controller compares imaging results from both cameras to determine whether abnormalities are caused by camera failures or foreign substances on the windshield, thereby improving detection accuracy while managing system complexity through integrated processing

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The controller acts as an intermediary that receives images from both cameras and performs comparative analysis. It uses the common imaging range as a reference to mediate between the two camera inputs and determine the cause of abnormalities, enabling precise differentiation between camera failures and windshield fogging

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If multiple cameras with overlapping imaging ranges are used, then the measurement precision improves for abnormality detection, but the device complexity increases

Engineering Contradiction:
Improveabnormality detection accuracyVSAvoidnumber of cameras
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent divides the imaging system into two distinct camera units with different positions and functions: an outdoor camera for external imaging and an indoor camera for internal imaging through the windshield. This segmentation allows each camera to have specialized roles while their overlapping fields of view enable comparative analysis for accurate abnormality detection

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Both cameras are designed to image the same external scene through different optical paths, giving them universal functionality in terms of imaging capability. This multi-functionality allows the system to use either camera independently or both together for comprehensive monitoring and accurate abnormality determination

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

Data Source

PatentUS11551340B2Image processing apparatus, imaging system, mobile body, and image processing method
Publication Date: 2023.01.10 KYOCERA CORP
  • US11551340B2 patent drawing
  • US11551340B2 patent drawing
  • US11551340B2 patent drawing

AI summary

An abnormality in an imaging apparatus configured to generate an image or in an optical member located on an optical path for capturing the image can be accurately determined, irrespective of the environment. An image processing apparatus includes a first receiver configured to receive a first image, a second receiver configured to receive a second image having an imaging range that includes at least a portion of an imaging range of the first image, and a controller configured to determine an abnormality in the first image or the second image based on a common portion in the imaging ranges of the first image and the second image.