Automated, real-time monitoring of bird and flock movement and behaviour.

Project Member(s): Wu, Q., Zhang, J.

Funding or Partner Organisation: Australian Eggs RDC (Australian Egg Corporation Limited)
Australian Eggs RDC (Australian Egg Corporation Limited)

Start year: 2020

Summary: This research offers opportunity to improve management of layer flocks through enabling remote monitoring. The findings from this work may include the automatic detection of distress behaviours in the flock and real time intervention to reduce distress and prevent the situation worsening. If the project is successful, it will provide commercial egg producers with tools to automatically monitor and to an extent, manage the flock. This may both aid and improve management and reduce labour requirements, but also present as a platform technology for other cost-effective monitoring (such as monitoring hen weight, behaviour, feeding etc.).

Publications:

Yu, L, Xu, W, Wu, Q & Zhang, J 1970, 'Automated Flock Density and Activity Recognition for Welfare Monitoring on Commercial Egg Farms', 2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP), 2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP), IEEE.
View/Download from: Publisher's site

FOR Codes: Computer Vision, Pattern Recognition and Data Mining, Application Software Packages (excl. Computer Games), Image and video coding, Application software packages

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.