AI-Powered Equine Movement and Health Monitoring for Molenkoning Horse Walkers
Project Highlights
Client Overview
Molenkoning is a leading manufacturer of high-quality horse walkers, offering premium equipment used by professional horse owners and trainers globally. Their focus is on improving equine health and performance through advanced technology integrated into their existing equipment.
Technical Stack
AWS
FFmpeg
Opencv
Pytorch
Tensorflow
Industry
Animal Health
Project Duration
7 Months
Region
US
Challenges
The client needed a non-invasive solution to monitor horse movement and health, accurately analyzing gait and performance, while providing real-time data insights for better health management.
- ➔ Non-Invasive Monitoring
- ➔ Accurate Movement Analysis
- ➔ Real-Time Data Insights
- ➔ AI-Powered Motion Analysis
- ➔ Camera System Integration
- ➔ Heart Rate Monitoring
- ➔ Data Visualization and Reporting
- ➔ Cloud-Based Data Management
Solution
Created an AI-driven motion analysis platform combining video tracking, heart rate monitoring, and cloud-based data storage to provide real-time performance insights and actionable feedback.
- ✓Horse owners required a solution that wouldn’t require direct contact sensors on the horse, ensuring minimal disruption to the animal during workouts.
- ✓Developing an AI-powered tool capable of accurately detecting subtle asymmetries in a horse's gait.
- ✓Integrating a heart rate monitoring system that would synchronize with the video footage to provide real-time insights into a horse’s physical performance, overall health, and stress levels.
- ✓Our custom motion analysis model, inspired by the Sleip equine biomechanics tool, detects subtle gait asymmetries using advanced AI and computer vision. It employs markerless motion capture to analyze video data non-invasively, without requiring sensors on the horse.
- ✓High-resolution, weatherproof cameras mounted on Molenkoning horse walkers capture key motion points (head, neck, legs, pelvis) from multiple angles, providing a complete analysis of the horse’s gait. and The AI processes the video feed in real-time, generating actionable insights into the horse's movement and biomechanics.
- ✓A Bluetooth-enabled heart rate monitor is attached using specialized gear, syncing heart rate data with video footage. and This integration allows users to correlate the horse's physical exertion and heart rate, identifying overtraining and stress indicators.
- ✓A custom-built mobile app (iOS & Android) provides real-time graphical insights into the horse’s performance, including step symmetry, speed, stride length, and heart rate trends.
- ✓All video data and insights are securely stored in the cloud, making it easy to access historical records and track performance over time.
Conclusion
Our AI-powered equine movement and health monitoring system for Molenkoning integrates video analysis and heart rate tracking to provide real-time, non-invasive insights into a horse's gait and health. This solution helps prevent injuries, optimize training, and enhance performance with data-driven feedback. Exclusive to Molenkoning clients, it uses advanced AI technology to ensure horse well-being and training efficiency, with future predictive analytics to further improve equine care.
