Quick, Accurate, Smart: 3D Computer Vision Technology Helps Assessing Confined Animals’ Behaviour

In 2016, scientists developed a prototype software that uses machine learning to analyze 3D visual data of animal movements. The software allows for efficient, low-cost and accurate analysis of animal behaviour, offering an alternative to human observation of recorded videos. This tool uses computer vision to track behaviour patterns of animals in order to automatically identify unusual movement that may indicate health issues. While initially designed as a tool to monitor dogs in a kennel, the software could be applied to any animal in confinement, and it has the potential to improve the welfare of animals in farms, laboratories and zoos. The study was funded by the Italian Ministry of Health and was completed by researchers from the University of Modena and Reggio Emilia and Istituto Zooprofilattico Sperimentale dell’Abruzzo e del Molise (Italy).

Barnard, S., Calderara, S., Pistocchi, S., Cucchiara, R., Podaliri-Vulpiani, M., Messori, S., & Ferri, N. (2016). “Quick, accurate, smart: 3D computer vision technology helps assessing confined animals’ behaviour.”


Artificial Intelligence, Data, Ecological Modelling, Ecological Monitoring, Internet of Things, Lifestyle