3D Viewability Scoring for Public Display Resource Allocation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Constructing, operating, and maintaining public display systems can be resource intensive, with resources often wasted if not actively managed due to unoptimized placement and usage.
Innovation Solution
A method to determine a geographic location for a physical structure by obtaining a 3D representation and traffic data, segmenting the area, calculating a viewability score based on traffic exposure, and adjusting display characteristics to optimize resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If public display systems are deployed to maximize coverage and accessibility, then the reach and visibility of information is improved, but resource consumption (power, network) increases significantly
Solution Approach 1:
The system applies local quality by configuring display parameters (brightness, refresh rate, content type) specifically for each display device based on its location characteristics. High-visibility locations receive different configurations than low-visibility locations, optimizing power consumption locally while maintaining overall coverage.
Solution Approach 2:
The system implements dynamic power management by continuously monitoring viewability scores and traffic patterns, then adjusting display operation accordingly. Displays can be dimmed, put in sleep mode, or have reduced refresh rates during periods of low visibility or traffic, thereby dynamically reducing power consumption while maintaining coverage.
2Reliability
If displays are operated continuously to ensure information availability, then information accessibility is improved, but network resources and power are wasted during low-traffic periods
Solution Approach 1:
The system employs periodic action by scheduling display operation based on predicted traffic patterns and historical data. Displays are activated or deactivated in periodic cycles aligned with expected usage patterns, ensuring information availability during high-traffic periods while conserving energy during low-traffic periods.
Solution Approach 2:
The system uses feedback mechanisms by monitoring actual traffic data, viewability scores, and display performance, then using this information to adjust future operation schedules. This closed-loop control ensures reliability is maintained when needed while minimizing energy waste during low-demand periods.
3Productivity
If displays are placed in highly visible locations with high traffic volume, then viewability and information delivery effectiveness is improved, but device complexity and deployment cost increases
Solution Approach 1:
The system applies segmentation by dividing the deployment area into multiple zones with different viewability scores and traffic characteristics. This allows prioritized deployment in high-value zones while using simpler or fewer displays in lower-priority zones, reducing overall complexity while maintaining high information delivery effectiveness in critical areas.
Solution Approach 2:
The system uses parameter changes by adjusting display configuration parameters (resolution, brightness, refresh rate, content format) based on location-specific viewability scores. High-visibility locations receive optimized high-parameter configurations for maximum effectiveness, while lower-visibility locations use reduced-parameter configurations, balancing productivity with complexity management.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for adjusting physical location usage for a plurality of particular locations. Methods can include obtaining a three-dimensional (3D) representation of the given geographic area, wherein the 3D representation depicts a view of the given geographic area from a specified viewing perspective. For the given geographic area, traffic data is obtained indicating different traffic volumes during different time periods and one or more traffic characteristics. The 3D representation is segmented into a plurality of particular locations. For each particular location among the plurality of particular locations and based on the traffic data, a viewability score is determined that indicates an aggregate amount of time that the particular location is viewable by traffic passing the different locations. Physical location usage is then adjusted based on the viewability scores for the plurality of particular locations.