Sleip utilizes smartphone-based computer vision technology to detect lameness in horses, providing a reliable and accessible method for monitoring equine health and performance. This solution addresses the challenges of traditional movement evaluation methods, offering premium veterinary clinics a fast and efficient tool for assessing horse mobility.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional methods of detecting lameness in horses often rely on subjective visual assessments, which can be inconsistent and time-consuming. These methods may also require specialized expertise and equipment, making them less accessible for routine monitoring of equine health and performance.
Solution
Sleip offers a smartphone-based computer vision solution for the objective detection of lameness in horses. By analyzing video footage captured with a standard smartphone, the system automatically identifies gait abnormalities and quantifies the severity of lameness. This approach provides a reliable, cost-effective, and easily accessible method for monitoring equine health, enabling early detection of potential issues and facilitating timely intervention. The technology aims to improve the accuracy and efficiency of lameness detection, supporting better management and care for horses.
Target Audience
The primary target audience includes veterinary clinics, equine rehabilitation centers, and horse owners seeking a reliable and accessible method for monitoring equine health and performance.
Features
- Smartphone-based video capture for convenient data collection
- Computer vision algorithms for automated gait analysis
- Objective quantification of lameness severity
- Cloud-based platform for data storage and analysis
- Secure data encryption and privacy protection