Mixed-Reality Beacons for Real-Time Geo-Location Overlay
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Solution Overview
Problem
Existing mixed-reality platforms lack effective methods to overlay geo-location markers as beacons on a user's field of view, providing real-time, context-aware information about points of interest in the physical world, while allowing for user interaction and customization.
Innovation Solution
A cloud compute engine identifies geo-location markers within a database and transmits them to a mobile device for real-time rendering as mixed-reality beacons anchored to geo-positioning coordinates, enabling users to interact with and filter these beacons based on their field of view and preferences, with features like ephemeral appearance and user-specific information display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If geo-location markers are overlaid as mixed-reality beacons on the user's field of view in real-time, then user awareness and interaction with points of interest is enhanced, but device complexity and computational requirements increase
Solution Approach 1:
The system divides functionality between cloud compute engine and mobile device. The cloud handles database queries, geo-location marker identification, and beacon generation, while the mobile device handles rendering and user interaction. This segmentation reduces the computational burden on the mobile device while maintaining real-time functionality.
Solution Approach 2:
The cloud compute engine acts as an intermediary between the mobile device and the database of geo-location markers. It receives geo-location data, queries the database, identifies relevant markers, and transmits them back to the mobile device for rendering. This intermediary approach simplifies the mobile device's task while enabling complex database operations.
2Productivity
If real-time rendering of mixed-reality beacons is performed on mobile devices, then contextual information is provided immediately, but energy consumption increases
Solution Approach 1:
The cloud compute engine performs preliminary actions by pre-identifying and filtering geo-location markers based on the user's geo-location data before transmitting them to the mobile device. This reduces the amount of data that needs to be processed in real-time on the mobile device, thereby reducing energy consumption while maintaining real-time responsiveness.
Solution Approach 2:
The system extracts and transmits only the necessary beacon data to the mobile device after the cloud compute engine has filtered and identified relevant markers. This extraction approach minimizes data transfer and processing requirements on the mobile device, reducing energy consumption while maintaining real-time information delivery.
3Loss of information
If beacons are filtered and customized based on user preferences and field of view, then information relevance is improved, but processing time increases
Solution Approach 1:
The cloud compute engine performs preliminary filtering and identification of relevant beacons based on geo-location data before transmitting to the mobile device. This preliminary action reduces the amount of data that needs to be processed on the mobile device, thereby reducing processing time while maintaining high information relevance through user preference-based filtering.
Data Source
AI summary
A cloud compute engine applies geo-location information received from a mobile computing device to identify, within a database of geo-location markers, a bundle of geo-location markers corresponding to points of potential user interest within a prescribed proximity to the mobile device, transmitting the geo-location markers to the mobile device to be rendered in real time, on a display of the mobile device, as mixed-reality “beacons” overlaid on an image of an objective scene and anchored to geo-positioning coordinates of places/objects within the objective scene. As a user moves/reorients the mobile device, beacons corresponding to points of interest within the field of view appear in the mixed-reality display at locations corresponding to physical locations of the points of interest within the objective scene, enabling the user to identify, within the physical world, locations and other information regarding places/objects/persons of interest based on overlay-locations of the beacons within the mobile-device display.