Robotics for poultry farms

It uses a fusion of visible and infrared spectrum to quickly detect temperature anomalies and physical characteristics associated with casualties, ensuring prompt withdrawal.

Using intelligent algorithms, it analyzes the conveyor belt to detect and mark broken or dirty eggs, alerting staff to ensure the highest product quality.

It centralizes all the data collected by the robot in a single interface, with visualization dashboards and customized alarms for informed, real-time decision-making.

It constantly monitors bird behavior and environmental conditions to identify anomalous patterns, such as unproductive hens, allowing you to optimize efficiency and reduce costs.

It applies computer vision algorithms to estimate the weight of birds in a non-invasive way, providing key data for fattening cycle control and logistics planning.

It measures in real time the temperature, humidity, CO2 and wind speed in each cage, generating a 3D environmental map for accurate and exhaustive control of farm conditions.

It offers a continuous visual monitoring service to bolster facility safety and enable remote monitoring of operations and bird welfare.