Vehicle Smart Sticker Positioning Without Object Overlap
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Solution Overview
Problem
Conventional smart stickers lack accurate positioning systems, leading to overlapping with vehicle body objects and sacrificing object details, resulting in a suboptimal user experience.
Innovation Solution
A vehicle-mounted smart sticker system utilizing image capturing devices, neural networks, and AI technologies for precise region identification and non-overlapping image layer generation, ensuring accurate alignment of smart stickers to vehicle regions without obscuring objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If image layers of smart stickers are directly overlaid on specific regions, then the smart sticker function is achieved, but details of objects in those regions are lost
Solution Approach 1:
The patent segments the vehicle body surface into multiple regions based on detected objects and their spatial relationships. By dividing the application area into distinct zones (e.g., front region, side region, rear region) and further subdividing based on object proximity, the system prevents smart sticker image layers from overlapping with objects. This segmentation allows selective application of smart stickers to regions where objects are absent, preserving object details while maintaining smart sticker functionality.
Solution Approach 2:
The patent performs preliminary object detection and region identification before applying smart stickers. By first detecting objects in the vehicle body space and pre-determining safe application regions, the system avoids overlapping smart sticker images with objects. This preliminary action ensures that smart sticker application does not sacrifice object details, as the application regions are predetermined to exclude object-occupied areas.
2Ease of manufacture
If conventional smart sticker applications are used, then the basic overlay function is achieved, but positioning accuracy is insufficient
Solution Approach 1:
The patent replaces conventional mechanical or manual positioning methods with an AI-based detection and positioning system. By using object detection algorithms and spatial relationship analysis, the system automatically determines precise positioning coordinates for smart stickers. This substitution of mechanical positioning with intelligent algorithms significantly improves positioning accuracy, ensuring smart stickers are correctly aligned with intended regions while avoiding overlaps with objects.
Solution Approach 2:
The patent implements a feedback mechanism where the system continuously monitors the vehicle body space, detects objects, and adjusts smart sticker positioning based on real-time spatial relationships. The system uses feedback from object detection results to dynamically determine safe application regions and refine positioning coordinates, ensuring high accuracy and adaptability to different vehicle configurations and object arrangements.
3Shape
If smart stickers are positioned to cover specific regions, then the visual effect is improved, but object details are obscured
Solution Approach 1:
The patent applies local quality by differentiating treatment for different regions of the vehicle body. Based on object detection results, the system identifies regions with high object density and excludes them from smart sticker application. Conversely, regions with fewer or no objects are prioritized for smart sticker placement. This local differentiation ensures optimal visual effects in regions where objects are absent, while preserving object details in regions where objects are present, achieving both aesthetic and informational goals.
Data Source
AI summary
A method for generating a vehicle-mounted smart sticker includes acquiring model data of a vehicle body space, positioning at least one region inside the vehicle body space by using at least one image capturing device, tracking at least one object inside the vehicle body space for positioning at least one object image, and generating an image layer of a smart sticker according to the model data of the vehicle body space, positioning data of the at least one region inside the vehicle body space, and the at least one object image. A range of the image layer of the smart sticker corresponds to a range of the at least one region. The image layer of the smart sticker and the at least one object image are non-overlapped.


