08.05.2023
| DSC Seed Grant |
The DSC supports the development of an artificially intelligent fence for automated wolve detection
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.
Funding recipient:
Dipl.-Ing. Jens Dede
(Faculty 01 – Physics/ Electrical Engineering, ComNets)
Funding period:
9th May 2023 - 17th May 2023
Updated by: Svenja Goers
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08.05.2023 | DSC Seed Grant
The DSC supports the development of an artificially intelligent fence for automated wolve detection
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.
Funding recipient:
Dipl.-Ing. Jens Dede
(Faculty 01 – Physics/ Electrical Engineering, ComNets)
Funding period:
9th May 2023 - 17th May 2023
Author: Svenja Goers
If you have any questions regarding the DSC Seed Grant, feel free to contact me.
Dr. Lena Steinmann
DSC Coordinator
+49 (421) 218 - 63941
lena.steinmann@uni-bremen.de
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