Display Marker Adaptation for Angle and Light Distortion
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Solution Overview
Problem
Digital billboards with markers face challenges such as angle and light distortions, and high reflectivity, which hinder marker recognition by mobile device cameras, leading to difficulties in providing effective advertising feedback.
Innovation Solution
A system and method for display adaptation that uses captured image feedback to analyze and adjust the marker visibility by adjusting its size, brightness, and position based on camera settings and environmental conditions, and provides recommendations for improved image capture, such as adjusting camera zoom or using peer-to-peer image transfer from nearby devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the marker is displayed on the billboard with standard settings, then the advertising content is visible, but the marker recognition rate is low due to angle and light distortions
Solution Approach 1:
The system performs preliminary analysis of captured images to identify distortion patterns before adjusting the marker display. By pre-processing the image feedback and predicting distortion issues, the system can proactively adjust marker parameters (size, brightness, position) to compensate for anticipated angle and light distortions, thereby improving recognition rates
Solution Approach 2:
The system establishes a closed-loop feedback mechanism where captured images from mobile devices are continuously analyzed, and the results are used to dynamically adjust marker display parameters. This real-time feedback allows the system to learn from actual recognition failures and optimize marker visibility under various viewing conditions, directly addressing the angle and light distortion problems
2Measurement precision
If the marker size is increased to improve visibility, then the marker can be recognized from greater distances, but the advertising content space is reduced
Solution Approach 1:
The system applies local quality by making the marker adaptive in its properties rather than uniformly large. By analyzing captured images, the system determines the optimal marker size, brightness, and position for each specific viewing condition. This allows the marker to be effectively 'larger' only when and where needed for recognition, while preserving maximum advertising content space in other areas of the billboard
Solution Approach 2:
The system dynamically changes marker parameters (size, brightness, position) based on captured image analysis. Rather than using a fixed large marker that always reduces content space, the system adjusts parameters in real-time based on actual viewing conditions, achieving adequate recognition distance only when necessary while maximizing advertising content space during normal operation
3Measurement precision
If multiple camera settings are recommended to improve image quality, then the marker recognition accuracy improves, but the system complexity increases
Solution Approach 1:
The system provides self-service by automatically analyzing captured images and generating camera setting recommendations without requiring complex user intervention. The system itself processes the images, identifies recognition issues, and communicates simple actionable recommendations to users, thereby improving recognition accuracy while keeping the user-side complexity low
Data Source
AI summary
A computer implemented method is provided for display adaptation based on captured image feedback. Content that comprises a marker is displayed. An image of the content is captured by a mobile device. Whether the marker in the image is recognized is determined. The marker in the image is analyzed in response to a determination that the marker in the image is not recognized. The content is adjusted based on the analyzed marker. The adjusted content is displayed. The marker in the image is analyzed to determine at least one of a time and a location associated with capturing the image of the content in response to a determination that the marker in the image is recognized. Another content is displayed based on at least one of the time and the location determined by analyzing the marker.