Leveraging computer vision to identify animals at risk of injury

Client

Horse Racing Technology Firm

Use Case

Vision AI

Services

Artificial Intelligence

Impact

Hundreds

of veterinarian-confirmed foreleg injuries detected by the system since deployment

3-5 Min

real-time SMS alerts to veterinarians following detection of an adverse event

3,000-4,000

unique horses monitored per track per year across three distinct tracks

Challenge

A data-driven approach to equine health and performance

A leading provider in the horse racing industry sought to develop a Horse Workout Tracking Application that:

Identifies signs of injury before catastrophic breakdown
Derives critical metrics e.g., velocity, stride length, etc.
Scales to 3,000-4,000 unique horses per track per year

These insights will be used to:

Improve animal safety and welfare with early detection and intervention for potential issues that may arise for both the track and the animals
Provide trainers and owners with detailed performance metrics and enable them to monitor and visualize metrics

Solution

A scalable, real-time injury detection system using computer vision

OneSix built a horse workout tracking application that leverages an overhead multi-camera array, on-track cameras, and an ultra-wideband tracking system to monitor and derive critical metrics from workouts.

Installed 7–10 trackside cameras across three unique tracks, along with a complete overhead camera array.
Developed a robust production pipeline to fully process footage from on-track cameras, ensuring seamless data collection and analysis.
Built an injury detection system capable of identifying foreleg lameness with high accuracy.
Horse tracklets are projected to RWC using epipolar geometry to derive key performance metrics such as speed, stride length, acceleration, and symmetry.
Real-time alerts are sent to veterinarians via SMS within 3–5 minutes of detecting an adverse event.
Alerts are integrated into the RH360 app, allowing vets to review cases and provide feedback.

The system successfully identified hundreds of veterinarian-confirmed foreleg injuries, demonstrating its effectiveness in injury detection. Its impact has driven strong demand from veterinarians and industry professionals seeking to enhance equine safety.

Optimizing data pipeline efficiency to reduce cloud costs for an amusement park

By analyzing and adjusting data processing schedules, OneSix enabled a seaside amusement park to significantly reduce unnecessary cloud expenses while maintaining scalability during peak demand. This optimization improved cost efficiency and ensured the pipeline aligned with real-time business needs.