Vehicle Camera Freeze Detection via Range Modification
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Solution Overview
Problem
Existing image display systems for vehicles face issues with accurately detecting image freezing due to increased data storage costs and potential false determinations, especially when environments change minimally, and require additional signal additions for freeze detection.
Innovation Solution
An image display system that modifies the image-capturing range of a vehicle-mounted camera by changing its height or angle when stopped, compares pre- and post-modification images, and calculates a difference value to determine if the image is frozen, eliminating the need for large data storage and additional signal additions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If difference detection between successive image frames is performed while the vehicle is traveling, then freeze detection capability is improved, but buffer size and circuit cost increase
Solution Approach 1:
The patent extracts the freeze detection function from the main image processing flow by using a separate determination unit that independently compares image frames. This separation allows freeze detection to be performed without requiring large buffer storage of all image data, thereby reducing circuit complexity while maintaining detection reliability
Solution Approach 2:
Instead of processing and storing all image frames in detail, the patent applies partial action by only comparing successive frames for freeze detection purposes. The determination unit performs minimal necessary comparison operations without requiring complete image data storage, reducing buffer requirements while maintaining effective freeze detection
2Reliability
If successive captured images are used for freeze determination, then freeze detection accuracy is improved, but data amount increases
Solution Approach 1:
The patent extracts only the necessary comparison data from successive image frames for freeze determination. The determination unit focuses solely on detecting changes between frames without requiring storage of complete high-resolution image data, thereby reducing data amount while maintaining freeze detection accuracy
Solution Approach 2:
The system performs partial processing by comparing only the essential features of successive frames rather than processing entire high-resolution images. This partial action approach maintains freeze detection accuracy while significantly reducing the data amount that needs to be stored and processed
3Quantity of substance
If white or black detection images are added to captured images, then data amount for freeze determination is reduced, but device complexity increases due to additional signal addition function
Solution Approach 1:
Instead of adding artificial white or black detection images to the captured frames, the patent inverts the approach by directly comparing the original captured images. The determination unit detects freeze conditions by analyzing natural variations in the captured image data without requiring additional artificial signals, thereby reducing device complexity while maintaining effective freeze determination
Solution Approach 2:
The system uses the captured image data itself for freeze determination without requiring external artificial signals. The determination unit performs self-service by extracting freeze detection information directly from the natural variations in the captured images, eliminating the need for additional signal addition hardware or functions
4Quantity of substance
If detection images are added to captured images, then freeze determination data amount is reduced, but reliability decreases due to potential display errors
Solution Approach 1:
The determination unit performs self-service by using the original captured image data for freeze determination without relying on additional artificial detection images. This approach ensures reliability by directly analyzing the actual captured content, avoiding potential errors from signal addition and display variations while maintaining efficient data usage
Data Source
AI summary
An image display system includes an image capturing unit that is to be mounted on a vehicle, and is configured to capture an image of surroundings of the vehicle, a display unit configured to display a captured image captured by the image capturing unit, an image-capturing range modification unit configured to modify an image-capturing range of the image capturing unit when the vehicle is stopped, a comparison unit configured to compare an image captured before the image-capturing range is modified by the image-capturing range modification unit with an image captured after the image-capturing range is modified by the image-capturing range modification unit, and calculate a difference value therebetween, and a determination unit configured to determine whether or not there is an abnormality in the image capturing unit based on the difference value.