The invention provides a
system for monitoring the health, behavior, and safety of horses using a wearable device and an AI-enabled camera. The wearable device, affixed to the horse's pastern, measures physiological and motion data through multi-
modal sensors, while the AI camera captures high-resolution facial images to assess
mood states such as stress, happiness, discomfort, and pain. Data is processed locally with
artificial intelligence algorithms and transmitted via WiFi, LoRa,
GSM, or
Bluetooth to a cloud-based platform. The platform provides real-time alerts, tracks historical trends, and enables
data sharing among caregivers, veterinarians, and researchers. The
system includes geofencing for safety, redundant communication protocols for reliability, and modular designs for adaptability across environments. By integrating physical, mental, and
environmental monitoring, the invention delivers actionable insights to support proactive care, ensuring the health, safety, and welfare of horses.