Vacavision uses AI-powered computer vision on existing barn cameras to continuously monitor individual cattle, detecting heat, lameness, calving and other abnormal behaviors without wearables. The platform learns normal activity patterns and sends real‑time alerts via a dashboard or mobile app, helping dairy and beef producers reduce labor, improve animal welfare, and increase herd productivity.
Funding
Funding not disclosed
Founders
Product
Problem
Livestock farmers must continuously monitor large herds for signs of heat, illness, lameness, and calving, but human observation is limited by time, lighting conditions, and labor constraints, leading to missed events and reduced productivity.
Solution
Vacavision applies computer‑vision algorithms to standard barn cameras, creating a 24/7 AI monitoring layer that identifies individual animals and tracks their behavior without any wearables. The system learns baseline activity patterns and detects deviations such as mounting behavior, reduced lying time, abnormal walking, or early signs of pain. When a relevant event is recognized—heat, lameness, calving, or other abnormal behavior—the platform generates real‑time alerts for the farmer via a dashboard or mobile notification. By converting continuous video streams into actionable insights, Vacavision helps farms capture missed events, shorten open days, and intervene earlier to protect animal health and herd productivity.
Target Audience
Primary customers are dairy and beef cattle producers who manage medium to large herds and need automated health and fertility monitoring to reduce labor costs and improve animal welfare.
Features
- Individual animal identification and tracking using AI‑powered computer vision on existing barn cameras
- Continuous behavioral analysis covering heat/estrus detection, lameness, mounting, rumination, lying time, walking, and calving events
- Real‑time alerting system that notifies farmers of detected anomalies through a web dashboard and mobile notifications
- No wearable or invasive devices required, preserving animal welfare and avoiding operational disruption
- Cloud‑based analytics pipeline that learns normal herd patterns and flags deviations with confidence scores
- Compatibility with standard IP cameras, enabling easy retrofitting of existing barn infrastructure