Ad Overlay on Vehicle Camera Feed Using Safe Zone Detection
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Solution Overview
Problem
Current automotive viewing applications lack the ability to effectively overlay advertisements on camera feeds without compromising safety or distracting drivers, particularly in scenarios involving autonomous or semi-autonomous vehicle control.
Innovation Solution
A system comprising a capture device and processor that detects objects in video frames, determines suitable advertisement locations, formats and selects ads based on context, and integrates them into the video feed, ensuring safety by avoiding distraction during critical driving conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If advertisements are overlaid on camera feed, then revenue generation capability is improved, but driver distraction and safety are worsened
Solution Approach 1:
The system applies different treatment to different regions of the video feed by identifying safe zones where advertisements can be placed without distracting the driver. Advertisements are selectively overlaid only in regions determined to be non-critical for driving safety, such as peripheral areas or regions occluded by existing UI elements.
Solution Approach 2:
The system performs preliminary analysis of the video feed to identify safe advertisement zones before overlaying advertisements. By pre-processing the video frames to detect objects, road signs, and critical driving information, the system determines appropriate placement locations that minimize driver distraction.
2Productivity
If advertisements are overlaid on camera feed, then commercial value is improved, but information clarity is worsened
Solution Approach 1:
The system preserves information clarity in critical regions by restricting advertisements to non-critical zones. Important driving information such as road signs, pedestrians, and vehicle detections maintain full visibility, while advertisements are placed in peripheral or less important areas.
Solution Approach 2:
The system extracts critical information regions from the video feed and excludes them from advertisement overlay areas. By separating the video frame into critical and non-critical zones, the system ensures that advertisements do not obscure important driving information.
3Manufacturing precision
If object detection is performed on video frames, then advertisement placement accuracy is improved, but processing complexity is worsened
Solution Approach 1:
The system segments the video processing task into distinct stages: object detection, safe zone identification, and advertisement overlay. This modular approach allows each stage to be optimized independently, reducing overall processing complexity while maintaining placement accuracy.
Solution Approach 2:
The system performs object detection only in regions that will influence advertisement placement decisions, rather than analyzing the entire video frame in detail. This partial processing approach reduces computational complexity while maintaining sufficient accuracy for determining safe advertisement zones.
Data Source
AI summary
An apparatus includes a capture device and a processor. The capture device may be configured to generate video frames of an environment near a vehicle. The processor may be configured to receive video frames from the capture device, perform video operations to detect objects in the video frames, determine advertisement locations in the video frames based on the objects detected in the video frames, insert advertisements at the advertisement locations and generate video data for a display. The video data may comprise the video frames with the inserted advertisements.