The project “Smart Resource-Aware Multi-Sensor Network Project” (SRSnet) is an Interreg IV research project funded by the European Community. 
The project, started on 01.09.2009, had a duration of three years and saw the joint participation of Eye-Tech, Infofactory, Institute of Pervasive Computing and Smart Systems Technologies at the University of Klagenfurt, and the University of Udine. All partners are characterized by excellent expertise in the field of computer vision and signal processing algorithms, pervasive computing, and self-organizing sensor networks.
The SRSnet project primarily touched on three research areas – (i) collaborative audio-video analysis; (ii) detection of complex events; (iii) reconfiguration of the sensor network – and had the main objectives of studying and developing intelligent multisensory networks capable of automatically detecting and locating various events such as screams, animal noises, people trajectories, and complex human behaviors.
The SRSnet network was then tested in an environmental preservation context, particularly in the Austrian Hohe Tauern National Park. The site was selected because it offers realistic study contexts and allows for a better understanding of the movements of animals and visitors within restricted access protected areas.
Within the project, Eye-Tech was responsible for carrying out and coordinating all research and development activities in the field of audio and video signal processing, with particular attention to the issues of localization and recognition of audio sources and moving entities. Eye-Tech also developed a technique for automatic and optimal reconfiguration of the sensor network capable of maximizing the performance of the aforementioned algorithms.
