
AI System Detects Whip Strikes in Horse Racing
Japanese researchers created an AI system that automatically detects whip sounds during horse races, helping ensure jockeys follow animal welfare rules. The technology could replace time-consuming manual reviews and protect horses in real time.
Horse racing officials might soon have a powerful new tool to protect animals and ensure fair competition.
Researchers at the University of Tsukuba in Japan developed an AI system that automatically detects when jockeys use whips during races. The technology listens for the distinctive crack of a whip and can process audio faster than real time, making live monitoring possible.
Racing regulations limit how hard and how often jockeys can strike horses, but enforcement has always been challenging. Currently, stewards must watch video footage of every race and manually count whip strikes, a process that's both slow and prone to human error.
The new system changes everything. Using high-resolution microphones that capture sounds at 192 kHz (much higher than standard recordings), the AI learned to recognize the unique acoustic signature of whip strikes.
The technology accurately detected about 70% of whip strikes in audio from 24 official races. That might sound modest, but it's remarkable given how brief whip sounds are and how much background noise exists at racetracks.

The research revealed something scientists hadn't confirmed before: whip sounds contain extremely high-pitched components that ordinary recording equipment can't even capture. These very high frequencies turned out to be critical for accurate detection.
The Ripple Effect
This innovation addresses growing concerns about animal welfare in horse racing. Previous research has shown that whipping doesn't actually make horses run faster or safer, yet the practice continues partly because enforcement has been so difficult.
Automated detection could level the playing field for everyone. Jockeys would know their whip use is being monitored accurately in every race. Race officials could respond to violations immediately rather than discovering them hours later during video review.
The research team plans to expand their dataset and improve the system's performance in noisy conditions before rolling it out to real racetracks. They're also working to boost accuracy rates even higher.
The goal isn't to eliminate whips entirely but to ensure the rules designed to protect horses are actually followed. Technology that makes compliance easier to verify helps both animals and the sport itself.
As racing organizations worldwide face pressure to improve animal welfare standards, tools like this offer a practical path forward that doesn't rely on perfect human attention.
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Based on reporting by Phys.org - Technology
This story was written by BrightWire based on verified news reports.
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