The AI Animal Welfare project is developing methods to reliably measure animal welfare using AI and computer vision. Fraunhofer IGD contributes its expertise in camera-based analysis. The goals are to safeguard animal health, improve working conditions, and bring animal welfare and sustainability into alignment.
Collaborative project for animal welfare and the bioeconomy
The AI Animal Welfare project, funded by the state of Mecklenburg-Western Pomerania, brings together for the first time the expertise of leading partners from the life sciences, engineering, and social sciences. Whether laboratory mouse, chicken, or dairy cow: with the help of cameras, sensors, and artificial intelligence (AI), it should soon be possible to see at a glance how the animals are doing. The aim is to objectively assess animal welfare remotely and thus create better conditions in agriculture and research. To achieve this, image processing methods, bioacoustics, sensor technologies, and AI-based evaluation methods (e.g., pattern recognition, machine learning, big data analyses) are combined. This creates a novel setup that comprehensively maps animal welfare indicators and can be used long term in both research and agriculture.