Vehicle Video Freeze Detection via Time-Variant Icon Insertion
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Solution Overview
Problem
Vehicle rear view camera systems can freeze without warning, making it difficult for drivers to distinguish between a frozen image and a live video, potentially leading to unawareness of obstacles during reverse maneuvers.
Innovation Solution
A processor is configured to capture and alter video frames by inserting a moving, blinking, or time-variant icon into the image frames, allowing drivers to quickly determine if the video feed is frozen by observing the icon's behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If no additional visual indicator is added to the video feed, then the video display remains clean and uncluttered, but the driver cannot distinguish between a frozen image and a live video
Solution Approach 1:
The system preemptively inserts a time-variant icon into the video feed before any freeze detection occurs. This icon serves as a preliminary indicator that prepares the driver to recognize live video status, and its presence or absence (or change in behavior) subsequently indicates freeze status without requiring complex post-freeze analysis
2Reliability
If a time-variant icon is inserted into every video frame, then freeze detection reliability is improved, but computational resources and processing time increase
Solution Approach 1:
Instead of inserting the time-variant icon into every single video frame, the system applies the icon periodically or at selected intervals within the video feed. This periodic insertion maintains the reliability of freeze detection (since the icon's presence/absence or temporal behavior still provides freeze indication) while significantly reducing the computational burden of processing and inserting icons into every frame
Solution Approach 2:
The system applies the time-variant icon to only a portion of the video frames rather than all frames. This partial application provides sufficient visual indication for freeze detection (the icon appears frequently enough to be effective) while avoiding the excessive processing requirements of universal frame modification
Data Source
AI summary
Vehicle, method, and system are disclosed for determining when a live video feed is frozen. An example vehicle includes a camera, a display, and a processor. The processor is configured to capture a plurality of image frames via the camera, select one or more of the image frames, replace one or more pixels of the selected image frames with an icon, and output the plurality of image frames on the display.


