VR Event Overlay System with Real-Time Crowd Excitement Mapping
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Solution Overview
Problem
News producers face challenges in obtaining and managing data for events, as they need to physically attend or rely on multiple sources, often with uncertain quality and reliability, and existing video streaming applications struggle with real-time data processing and user interaction in crowded environments.
Innovation Solution
The system generates a virtual reality (VR) environment by processing third-party information in real-time using an ad-hoc network of actual and virtual sensors, allowing users to access and interact with events remotely through VR devices, with features like crowd excitement mapping and data source selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If news producers physically attend events with equipment to collect information, then data quality and reliability improve, but resource consumption and operational complexity increase
Solution Approach 1:
The patent creates virtual copies of physical sensor networks by deploying software-based virtual sensors that replicate the functionality of physical sensors. These virtual sensors process and aggregate data from multiple third-party sources, creating a simplified interface that maintains data reliability while reducing the complexity of physical deployment and management.
Solution Approach 2:
The patent introduces an intermediary layer between data sources and consumers through the use of virtual sensors and data aggregation services. This intermediary automatically collects, validates, and processes data from multiple third-party sources, eliminating the need for producers to directly manage complex physical sensor networks while maintaining data quality through systematic validation processes.
2Ease of manufacture
If news producers rely on third-party data sources, then resource consumption decreases, but data quality and reliability become uncertain
Solution Approach 1:
The patent merges data from multiple third-party sources through virtual sensors that aggregate information from diverse origins. By combining data streams and applying validation rules, the system maintains resource efficiency while improving data reliability through cross-verification and comprehensive data collection from multiple independent sources.
Solution Approach 2:
The patent implements feedback mechanisms where virtual sensors continuously monitor data quality metrics from third-party sources and adjust data collection strategies accordingly. This feedback loop ensures that resource-efficient third-party data sources are systematically evaluated and selected based on their actual performance and reliability, rather than assumptions.
3Loss of information
If multiple data sources are managed for real-time event coverage, then data completeness improves, but processing complexity and time increase
Solution Approach 1:
The patent performs preliminary actions by pre-configuring virtual sensors with data collection parameters and validation rules before events occur. Data sources are pre-registered and characterized, allowing the system to rapidly activate and process multiple data streams in real-time without the overhead of discovering and validating sources during the event itself.
Solution Approach 2:
The patent segments the data processing function into independent virtual sensors, each responsible for specific data sources or data types. This segmentation allows parallel processing of multiple data streams, maintaining data completeness while reducing overall processing time through distributed computation and specialized handling of different data categories.
4Adaptability or versatility
If video streaming applications allow user interactions in crowded environments, then user engagement improves, but system complexity and communication overhead increase
Solution Approach 1:
The patent implements universal data structures and communication protocols that handle multiple types of user interactions through a unified interface. The virtual sensor framework provides multi-functional capabilities that can process various interaction types (comments, reactions, location changes) through the same underlying architecture, reducing system complexity while maintaining high user engagement.
Data Source
AI summary
Creating a list of available data sources for an event selected by a user, displaying one or more icons as an overlay on a first video stream indicating a position of a camera capturing a second video stream, and displaying a map as an overlay on the first video stream in which the map indicates levels of crowd excitement or other mappable data in different regions of a real world environment captured by the first video stream. Some embodiments may include receiving information indicating a user selection of the second video stream. For some embodiments, the levels of crowd excitement may be generated from sensor data, such as audio, video, or heart rate data collected by sensors at the event.