Ecosystem Monitoring using Deep Learning

Monash University, Australia

Updated: about 9 hours ago
Location: Melbourne, VICTORIA
Deadline: The position may have been removed or expired!

The project develops methods to use acoustic data for the identification of animals in the wild and in controlled settings. It is part of a broader effort to build AI-enabled methods to support biodiversity and sustainability research. The initial objective is to use deep learning techniques to perform acoustic species identification in real-time on low-cost sensing devices coupled to cloud-based backends. Ultimately, we are aiming to move to Edge-AI, ie. to shift the AI entirely onto small embedded devices so that these can work autonomously without relying on cloud-based backends. Beyond species classification and individual recognition, the project may investigate the possibility to use advanced machine learning for the identification of individual-level and group-level behaviours. Data fusion with visual information may be considered as an extension to extend the range of detection capabilities.   

#sustainability


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