Automated Sport Event Start Detection for Position Data Storage
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Solution Overview
Problem
Manual indication of the start and stop of a sporting event for object tracking is inconvenient and unreliable, leading to inefficient storage of data due to human error and potential missed or delayed detection of event commencement.
Innovation Solution
An information processing device that uses position information from cameras and image analysis to automatically determine the start and stop of a sporting event by meeting predefined conditions, generating instructions to start or stop storing position data accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual indication is used to start storing position information, then the operator can control when data collection begins, but the system becomes unreliable due to human error and delayed detection
Solution Approach 1:
The system automatically detects the start of a sporting event by analyzing position information from tracking data without requiring manual operator input. The processing device autonomously determines when play has started based on predefined conditions, eliminating the need for operator intervention and thereby improving reliability while maintaining ease of operation
Solution Approach 2:
The manual mechanical action of pressing a button by the operator is replaced with an automated electronic detection system that analyzes position information and automatically identifies event start conditions, substituting human operation with a computational process that is both more reliable and equally convenient
2Loss of information
If position information is stored continuously throughout the entire sporting event, then all movement data is captured for analysis, but significant power and storage space are consumed
Solution Approach 1:
The system performs preliminary analysis of position information to detect specific event start conditions before beginning full data storage. By identifying the precise moment when play begins through condition-based detection, the system ensures no meaningful movement data is lost while avoiding storage of redundant data from pre-event periods, thereby optimizing both data completeness and resource efficiency
Solution Approach 2:
Instead of storing all position information continuously throughout the entire event, the system stores only the critical portion of data that occurs after event start conditions are met. This partial storage approach captures all necessary movement information for analysis while significantly reducing power consumption and storage space requirements
3Reliability
If manual indication is used to indicate the timeframe of sport play, then the operator can define the storage period, but human error causes unreliable identification of play periods
Solution Approach 1:
The processing device autonomously identifies play periods by continuously monitoring position information and automatically detecting when predefined start and stop conditions are met. This self-service approach eliminates operator involvement entirely, ensuring accurate and reliable play period identification without adding system complexity
Solution Approach 2:
The system uses feedback from continuous analysis of position information to dynamically adjust and identify play periods. By monitoring tracking data and comparing it against predefined conditions, the system receives real-time feedback about event status, enabling accurate automatic identification of when play starts and stops without requiring complex manual indication systems
Data Source
AI summary
A method includes obtaining position information relating to an object in a sporting event, determining, based on the position information, that a start event has occurred, wherein the start event indicates a start of play of the sporting event, and generating, according to a result of the determination, an instruction to start storing position information relating to the object.