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ProbSenS focuses on developing a low-power architecture for integrating multiple sensor data in real-time. By mimicking biological systems, it aims to enhance smart systems' ability to process diverse sensor inputs efficiently, particularly for applications in security and environmental monitoring.
“ProbSenS” will develop a novel low-power event-driven probabilistic Very Large-Scale Integration (VLSI) architecture for real-time, adaptive and robust multisensor integration.
Multisensor integration exploits the extended coverage of multiple detectors to increase perceptual confidence in Smart Systems, but embedded implementations are yet in their infancy due to the lack of hardware able to infer from the multivariate, nonlinear, time-dependent and noisy signals supplied by modern sensors.
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UNIVERSITAT ZURICH
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