Camera-based facial recognition in the barn

Camera-based facial recognition in the barn enables the unique identification of dairy cows without requiring additional equipment. It forms the basis for automated, individual animal monitoring and the intelligent linking of important health and behavioral data.

Motivation: Need for Individual Animal Identification

With the increasing use of camera systems in dairy farming, the demand for automatic recognition of individual animals is growing. Clear identification is essential to accurately document health trends, performance data, and individual animal behavior. Until now, this has usually been done using transponders or ear tags, which require additional hardware and can be prone to malfunctions.

Project Goal: Facial Recognition as a Key Technology

The aim of the project is to develop a camera-based system that can uniquely identify dairy cows based on their facial features. This technology will enable continuous, individual monitoring of animals—without manual assignment or additional hardware attached to the animal. It thus provides the foundation for linking important health, behavioral, and performance data at the individual animal level.

© Fraunhofer IGD
© Fraunhofer IGD

Approach and Application Perspective

On partner farms, image data will initially be collected at barn locations where the animal ID is reliably known, such as in the milking parlor or sorting area. The next step is to analyze at which barn positions facial recognition works most reliably from a technical and practical perspective. A validated training dataset will then be created to specifically train, test, and optimize AI models. In the long term, the technology is intended to be used as a module for individual animal camera monitoring that can seamlessly integrate with other analysis modules, such as lameness detection, behavior analysis, or vital data monitoring. In this way, the project contributes significantly to efficient herd management, improved animal welfare, and future-oriented dairy farming.

Duration:

January 1, 2024 – December 31, 2025

Funding:

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