AI-Powered Equine Movement and Health Monitoring for Molenkoning Horse Walkers
IndustryAnimal Health
1
Duration7 Months
RegionUS
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
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
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.
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.