For most sheep farmers, lambing season is a very busy time of year. Besides feeding the sheep and providing bedding, the farming team must monitor the stage of labour of the ewes, pen them, assist with the delivery when needed, and perform care of the newborn lambs. All of this can be very time-consuming over the several weeks that lambing takes place.

In recent years, the use of CCTV by farmers to monitor their flock remotely has made things easier. Besides cameras, other data-gathering technologies have been used to gather a wider range of data to indicate the state of labour of the ewes. The additional information contributes to the welfare, wellbeing and health of the animals, while reducing the risk of exhaustion in the farming team. The LambCam project is a multi-year research and development project underway to use streams of multi-modal data gathered in the farming environment in order to improve outcomes in ovine obstetrics. In doing so, we apply and develop techniques from computer vision, machine learning and other fields.

The work is a result of the collaboration of two sets of experts:

Objectives and research questions

Progress so far

To learn more about our progress, take a look at our GitHub organisation or join our mailing list for project updates in the future. We'll also do our best to post updates here too.