Live Sports Data Aggregation for Chronological In-Play Wagering
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Solution Overview
Problem
Conventional sports betting systems lack sufficient real-time, chronologically accurate data and video feeds of live events, making in-play wagering unreliable for bettors and bookmakers due to incomplete and out-of-order information.
Innovation Solution
A system that aggregates and synchronizes real-time data and video feeds from live events, applying analytics and rules engines to provide secure, chronological data for in-play wagering through a closed platform with geofencing and blockchain technology.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional sports betting systems use traditional data collection methods, then system simplicity is maintained, but data accuracy and chronological reliability deteriorate
Solution Approach 1:
The system segments data collection into multiple specialized components: video feeds from multiple cameras, sensor data from smart garments, RFID reader data, and traditional scoring data. Each component captures specific aspects of the sporting event independently, then the server synchronizes these segmented data streams chronologically to achieve high accuracy without requiring a monolithic complex system
Solution Approach 2:
A centralized server acts as an intermediary that receives data from multiple sources (video feeds, sensors, RFID readers, scoring systems), synchronizes them chronologically, and delivers unified accurate data to betting systems. This intermediary handles the complexity internally while presenting a simplified interface to external systems
2Reliability
If real-time data synchronization is implemented, then in-play wagering reliability is improved, but data processing time increases
Solution Approach 1:
The system performs preliminary actions by continuously collecting and pre-synchronizing data from all sources during the sporting event, maintaining a ready chronological data stream. When betting events occur, the synchronized data is already prepared and immediately deliverable, eliminating processing delays while ensuring reliability
Solution Approach 2:
Data collection and synchronization operate continuously throughout the sporting event rather than processing data in batches. Video feeds, sensors, and RFID readers continuously stream data to the server which maintains an ongoing synchronized chronological record, ensuring data is always ready for immediate betting decisions without interruption or delay
3Loss of information
If multiple data sources are integrated, then data completeness is improved, but system complexity increases
Solution Approach 1:
The centralized server performs multiple functions: receiving video feeds, processing sensor data, reading RFID tags, synchronizing scoring data, and delivering unified chronological information. This universal server handles all data sources through a single platform, achieving data completeness while avoiding the complexity of multiple separate integration systems
Solution Approach 2:
The system changes the parameter of data representation by converting all diverse data sources into a unified chronological format with precise timestamps. Video frames, sensor readings, RFID detections, and scoring events are all transformed into standardized chronological data entries, enabling complete information integration without complex source-specific processing
Data Source
AI summary
Systems and methods for betting on a live sporting event are disclosed. At least one input capture device and at least one user device are in network communication with a server platform. The at least one input capture device collects and transmits live raw data relating to the live sporting event. The server platform receives and aggregates the live raw data relating to the live sporting event from the at least one input capture device. The server platform accesses personal and/or emotional factors for each player in the live sporting event. The at least one user device places at least one bet on at least one aspect of the live sporting event to the server platform via an interactive graphic user interface (GUI) at least based on the live raw data. The server platform determines at least one betting outcome relating to the live sporting event.