RASE (Result Authentication Service) upholds ethical standards in running events by preventing disqualified runners from participating in future races. It actively combats cheating and fraud, providing a reliable system for maintaining the integrity of event results.

Key Features:

  • Disqualification Prevention: Ensure disqualified runners do not participate in future events.
  • Ethical Standards: Promote integrity and fair play in running events.
  • Fraud Detection: Actively identify and prevent cheating and fraudulent activities.
  • Comprehensive Analysis: Monitor and analyze event results, with historical data on cheating instances.
  • Events analyzed:51 - Average event size: 4,000 No. of cheating instances recorded: 54

Case Study

  • Case Study 1
    Issue :One of the events YouTooCanRun managed was the last qualifier run for an event in Mumbai. To qualify for this event in India, a few runners had given their bibs to other runners who were faster and who could finish in under the qualifying time.
    How We Detected the Cheaters & Solved the Issue :On running the data through the algorithm engine and checking the corroborative event photos we found out that a few runners who ran were not the runners who had registered for the event. The registered participants were informed about this and were denied the timing certificate and disqualified from the event.
  • Case Study 2
    Issue : There was a contest of the prize winners and the runner who was fourth contended that the third runner had not run the entire route.
    How We Detected the Cheaters & Solved the Issue : The algorithm engine throws up runners who split paces and skewed and have abnormal variance. His pace from 5.5 KM to 11.7 km was 0:8:07 but his pace from 11.7 km to 17.9 km was 0:03:11. The event organiser was then informed about this issue. The Race Director was informed who then DSQed the runner.
  • Case Study 3
    Issue : In an event with a large prize money, In one such event, one of the runners decided to wear two bibs(his & his friend’s) and run the event so that they could win the prize money for two age categories.
    How We Detected the Cheaters & Solved the Issue : On running the timing data thru the algorithm engine, we found out that the KM splits of both the runners were exactly the same but on checking the event photos the 1st runner-up was nowhere to be seen around the winner. Both the runners were disqualified and have been banned from running the event for a period of 3 years. Their details have been shared with other organisers, ensuring that they are barred from participating in other events for a period of 3 years.
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