Developing AI-enhanced continuous monitoring of individual locomotor dynamics to detect shifts in poultry behaviour, health and welfare in group housi

迫切需要客观、循证的工具来监测动物的健康和福利。运动动力学提供了有希望的机会来定量和持续地跟踪个体动物的行为，以改善健康和福利管理。该项目旨在使用计算机视觉和机器学习(或人工智能，AI)来检测和分类集体住房内的家禽运动。行为监测的自动化在精确的家畜养殖、研究动物的治疗反应监测(疫苗和药物开发)以及同伴动物保健方面具有商业化潜力。该项目很好地适应了BBSRC战略框架中的主要挑战，包括一个健康和生物技术促进健康。

There is an urgent need for objective, evidence-based tools to monitor animal health and welfare. Locomotor dynamics offer promising opportunities to quantitatively and continuously track individual animal behaviour, to improve management of health and welfare. This project aims to use computer vision and machine-learning (or artificial intelligence, AI) to detect and classify poultry motion within group-housing. Automation of behaviour monitoring has commercialisation potential in precision livestock farming, treatment response monitoring of research animals (vaccine and drug development), and companion animal healthcare. This project aligns well with Key Challenges in the BBSRC strategic framework, including One Health and Biotechnology for Health.