Golf Data Manipulation Platform for Real-Time Broadcast Graphics
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Solution Overview
Problem
Existing systems face complexity in synchronizing and disseminating event data for live broadcasts, particularly in professional golf tournaments, requiring complex coordination between production teams and graphics operators for real-time data collection, organization, selection, and visualization.
Innovation Solution
A platform is provided that allows users to view, manipulate, and publish event-related data dynamically for on-air broadcasts, utilizing a modification module with a browser-based web application and an access module to convert data into graphic formats for downstream clients, with a bridge for data translation to TV broadcast graphics hardware.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complex coordination between production teams and graphics operators is used for real-time data collection and visualization, then data accuracy and synchronization are improved, but system complexity and operational difficulty increase
Solution Approach 1:
The patent introduces a cloud-based platform as an intermediary system that mediates between data sources and graphics operators. This platform automatically collects, validates, and prepares event data, eliminating the need for complex direct coordination between production teams and graphics operators while maintaining data synchronization reliability through centralized real-time processing
Solution Approach 2:
The system enables self-service operation where the cloud platform automatically performs data collection, validation, and preparation without requiring manual intervention from production teams. The automated pipeline handles data synchronization independently, reducing operational complexity while maintaining reliable real-time data delivery to graphics operators
2Measurement precision
If manual data collection and organization is performed for live broadcasts, then data accuracy is maintained, but time consumption and productivity reduction occur
Solution Approach 1:
The cloud-based platform performs automated data collection and validation, eliminating manual data collection processes. The system self-manages data accuracy through built-in validation mechanisms while dramatically improving processing speed through automated real-time data pipeline operations
Solution Approach 2:
The platform performs preliminary data collection, validation, and preparation actions automatically before data is needed for graphics generation. This pre-processing handles data accuracy requirements in advance, allowing graphics operators to receive ready-to-use data without manual intervention and significantly reducing overall processing time
3Adaptability or versatility
If real-time data manipulation capability is provided for broadcast operators, then flexibility and adaptability are improved, but data security and information control complexity increase
Solution Approach 1:
The cloud platform serves as a secure intermediary between broadcast operators and raw event data. It provides real-time data manipulation capabilities through a controlled interface while maintaining data security through centralized authentication and access management, preventing information loss and controlling data access complexity
Solution Approach 2:
The platform provides universal data manipulation capabilities that work across multiple event types and broadcast scenarios through a single unified interface. This multi-functional approach handles various data manipulation needs (filtering, sorting, real-time adjustments) while maintaining consistent data security protocols, reducing overall system complexity
Data Source
AI summary
A platform including a modification module and an access module may receive live or near real-time event-related data from a data source. The modification module may receive HTTP requests from a browser of a user device for the event-related data and transmit the event related data in response to a push request or on-demand. The modification module may receive event-related data manipulations from the browser and transmit modifications to the event related data to the browser resulting from the manipulations. The modification module may further receive publication requests from the browser to publish data. The data may include a graphic designation and an associated set of event-related data. The data may be published to the access module. The access module may map the data to a specific graphic format, and publish the mapped data to one or more downstream clients.