Vision Sense Analytics
Healthy Lives, Brighter Futures
Introduction
Colic is the number 1 killer of horses. If untreated, a horse can die within hours. At Vision Sense Analytics we harness the power of AI and Computer Vision to help barn owners and veterinarians maintain healthy animal care. Our premire product, stall guardian, captures real time metrics of animal behavior and can quickly identify abnormalities and alert veterinarians. We are starting first with tracking horses and later expanding to other animals. Livestock monitoring is projected to reach a market size of 13.3 billion by 2027.
Problem
Colic is the number 1 killer of horses. If untreated, a horse can die within hours. The average horse in Massachusetts is worth more than 150 thousand dollars and race horses can be worth up to several millions of dollars. Losing a horse to colic is detrimental to a farm as years of training and specialization are lost. The majority of horse barns across the country lack infrastructure for 24/7 monitoring of their horses. Oftentimes barns do not have overnight staff and blindly hope their horses will be in good health in the morning. Veterinary clinics face a similar challenge. Whenever a horse receives surgery, they must be kept at the clinic for 10 days post operation during which time the clinic must monitor the horse to ensure that they do not colic again. This, coupled with the global shortage of horse veterinarians, leads to a prominent opportunity for our technology to help keep barn owners and doctors well informed of horse health conditions.
Opportunity
Our team is well positioned to solve this problem as we have adequate technical expertise within Computer Vision and AI and firsthand horse knowledge. We install cameras into horse stalls and run a computer vision algorithm to track key horse health metrics. For facilities with existing camera infrastructure, we are able to plug into existing video feeds and provide a pure software solution. From our conversations with 40+ barns owners and 20+ horse veterinarians, we have identified that the frequency of time a horse spends eating, drinking, defecating and laying down are key indicators of an ongoing or upcoming health crisis. Our algorithm tracks these metrics alongside other behavioral characteristics and alerts barns owners and veterinarians when anomalies are detected. This data is presented in a dashboard that is accessible as a web and mobile app. Barn owners no longer need to pay for overnight staff or worry that something will happen to their horse when no one is around.