Stunning failures during the stunning of slaughter animals cannot be completely avoided even under the best available technical conditions. Therefore, early detection of animals with maintained or recovering consciousness and sensibility is important in order to minimize pain, distress and suffering. Within the framework of this project, an automatic warning system using deep-learning-based computer vision to detect indicators for ineffective stunning (e.g. gasping, righting responses) in videos is to be developed.
Project management
Dr. Helen Schomburg
Dr. Inga Wilk
Dr. Jonas Knöll
Projekt staff
Hassan Shahid