Projects for Students
The idea consists in having ambient noise monitors, equipped with acoustic smart sensors, to measure the noise level and generate detailed and dynamically updated ambient noise maps in real time.
The goal is to record, process and classify the ambient noise by using algorithms typical of machine learning, and to identify hardware architectures to accelerate parts of the algorithms.
The projects are about the design of the noise monitor (phonometer), implemented on an Arduino-based microprocessor, and the profiling of the phonometer performances in terms of measurement accuracy and energy consumption.
SODAQ ARM-based Arduino board.
The projects can take two paths
- Focus on capturing the data (noise), geo-localizing them, transmitting to the server and update the noise maps.
- Focus on implementing efficiently the necessary computation on the SODAQ board, maybe accelerating some parts of the algorithm on an FPGA board.
Prerequisites: Good programming skills and knowledge of VHDL.