Bachelorprojekt - Softwareteknologi
Project No. 0250:  Smart City Ambient Noise Monitoring

Aktuelle

Tidligere

Description:

Acoustic smart sensors are used 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 project is about the design of the noise monitor, implemented on an Arduino-based microprocessor, and the profiling of the performances in terms of measurement accuracy and energy consumption.

The project 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 Arduino board, maybe accelerating some parts of the algorithm on an FPGA board.

Link: http://people.compute.dtu.dk/alna/fonix/

Prerequisites:

Good programming skills and knowledge of VHDL for the FPGA part

Supervisor(s) Alberto Nanarelli

Sidst opdateret: Nov 23, 2020 af Hans Henrik Løvengreen