Piglet Distress Screaming Alert System (Patent M617833)
This invention describes an AI-powered alert system that detects distress screams of piglets being crushed by a sow in a farrowing pen and notifies caretakers for immediate rescue. The system effectively increases the recognition accuracy of piglet abnormal screams to 99.4%, significantly improving piglet survival rates in the farrowing environment.
- Company NameNATIONAL ILAN UNIVERSITY
System Components
Monitoring device (microphone and camera)
Edge computing unit
Alert module
The system integrates hardware from surveillance devices and edge computing modules, where piglet vocalizations captured by a microphone are sent to the AI model for real-time inference. When an abnormal scream is detected—typically indicating the piglet is being crushed—an automatic video capture is triggered. This footage allows farm managers to assess the situation in the farrowing room and respond immediately to rescue the piglet.
Key Advantages
High-accuracy voice recognition (99.4%) using AI deep learning models
Edge computing enables fast local response without relying on the cloud
Non-invasive 24/7 monitoring, reduces labor and improves animal welfare
Improves survival rate of piglets, reducing early-stage livestock loss
Applicable Industries
Smart livestock equipment providers
Pig farming automation and IoT solution companies
Animal welfare technology developers
AI edge computing integrators in agriculture
Monitoring device (microphone and camera)
Edge computing unit
Alert module
The system integrates hardware from surveillance devices and edge computing modules, where piglet vocalizations captured by a microphone are sent to the AI model for real-time inference. When an abnormal scream is detected—typically indicating the piglet is being crushed—an automatic video capture is triggered. This footage allows farm managers to assess the situation in the farrowing room and respond immediately to rescue the piglet.
Key Advantages
High-accuracy voice recognition (99.4%) using AI deep learning models
Edge computing enables fast local response without relying on the cloud
Non-invasive 24/7 monitoring, reduces labor and improves animal welfare
Improves survival rate of piglets, reducing early-stage livestock loss
Applicable Industries
Smart livestock equipment providers
Pig farming automation and IoT solution companies
Animal welfare technology developers
AI edge computing integrators in agriculture
