News

Below we report on recent advances in the field of data science at the University of Bremen and keep you informed about the activities of the DSC and its members. You will find news about research projects, education and training opportunities, transfer activities, and much more.

As part of this grant, the DSC funds the implementation of a research stay in Switzerland. The collaboration aims to further optimize the ML models and algorithms which are used for the automated detection of wolves.

The planned stay is part of the research project mAINZaun (more about mAInZaun ) which is developing a pasture fence that uses artificial intelligence (AI) to detect and drive away wolves. The system is not only learning to distinguish wolves from other animals. Moreover, it is being trained to recognize and ward off each wolve individually. In this way, the ‘intelligent’ fence can contribute to the protection of farm animals and improves the coexistence of people, livestock, and predators.

However, the automated detection of wildlife animals using recorded images comes with a lot of challenges. Often, wolves are captured by the cameras from faraway. Or the animals are only partly visible, hidden behind trees and bushes. In addition, problems like dirty lenses, blurred images or the changing weather conditions of the different environments make automated image detection more difficult.

The research stay at SUPSI (Scuola universitaria professionale della Svizzera italiana) in Lugano aims to tackle these challenges and further advance the research project. SUPSI is one of the leading institutes in computer vision, machine learning and big data. The goal of the international collaboration is to gain new insights into the field of computer vision and further improve the developed ML models and algorithms for automated wolve detection.