Abstract

TThe introduction of Artificial Intelligence (AI) to sports has transformed how race timing, performance tracking, and event timing systems function. With the integration of AI algorithms, RFID technology, and computer vision, races now achieve higher accuracy and reliability. Artificial Intelligence enables automatic recognition of participant data, supports biometric identification, and strengthens race management through data-driven decision-making.

Today, AI combined with RFID and UHF (Ultra-High Frequency) tracking systems provides precise chip timing, real-time performance analysis, and improved security in every sporting event. This intelligent fusion is redefining modern sports timing technology across marathons and endurance races.

Problem

In competitive racing, participants use RFID timing chips for accurate chip timing and event timing. These ultra-high frequency RFID tags play a major role in performance tracking and race management. However, identifying whether each runner wearing an RFID tag matches the registered participant data can sometimes be challenging.

Such impersonation issues disrupt biometric identification, distort performance analysis, and affect the credibility of AI-based tracking systems. Without proper AI algorithms and RFID monitoring, race timing systems may produce inconsistent or incorrect results, reducing the efficiency of race management.

Solution

In large racing events, manual monitoring becomes nearly impossible, making Artificial Intelligence a key element in event timing and performance tracking. AI algorithms analyze footage using computer vision and RFID integration to match participants’ bib numbers with their RFID tags and biometric data.

This AI-based tracking system uses facial recognition, real-time analytics, and UHF RFID readers to verify every athlete on the move. It strengthens race management and performance analysis by producing verified results instantly. Through Artificial Intelligence and RFID technology, event organizers gain accurate chip timing, transparent data, and reliable participant verification throughout the race.

Pre-Race Preparation

Collect participant data: Gather personal and biometric information to be stored in the AI and RFID race management system for accurate performance tracking

Assign unique identifiers: Each participant receives a UHF RFID tag and AI-linked identifier for consistent chip timing and event timing validation.

Build a comprehensive database: Create an AI-powered performance analysis platform where participant data and biometric identification are updated and monitored through RFID systems.

AI-Based Tracking System

Computer vision technology: The AI algorithms analyze live race video feeds to enable real-time performance tracking and participant verification.

Facial recognition: Artificial Intelligence uses biometric identification to match faces with registered participant data, ensuring integrity in race timing.

RFID technology: Integrated UHF RFID readers detect chip timing tags and sync data with the AI tracking system for seamless event timing and performance analysis.

Data processing: The AI algorithms handle large-scale race data using real-time analytics, improving race management and enhancing RFID tracking system accuracy.

Conclusion

Artificial Intelligence, when combined with RFID technology, has brought a new dimension to race timing and performance tracking. The AI-based tracking system significantly reduces impersonation by matching biometric identification, participant data, and RFID tag information in real-time.

With AI algorithms, UHF RFID readers, and computer vision, the system supports verified chip timing and unbiased performance analysis. This integration empowers organizers with reliable race management, efficient event timing, and transparent data for every participant.

Through Artificial Intelligence and RFID tracking systems, every detail of race performance is recorded and analyzed, enhancing accuracy and elevating the credibility of competitive sports.