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Suceava 2024

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THEME - Hard & Soft 1999

Sound Controlled Vehicle Project

Aim
To design and construct a vehicle that can automatically follow a path defined by four different sound sources. You will also design the sound sources.

Vehicle Hardware
The vehicle will consist of a pair of geared DC motors to provide propulsion and steering, a directional microphone to monitor the sounds, a DSP card to process and analyze these sounds and a motor card to provide adequate power for the motors.
ADSP EZ-KIT Lite DSP card - this is the main vehicle controller card, details of which are given in the Analog devices books provided.
Motor Driver Card is a custom made board for the vehicle project and provides the following facilities: four high current outputs (6V/500mA) to control the two drive motors; generates a single variable pulse width modulator (PWM) for motor speed control; provides two high current general purpose outputs (6V/300mA); provides a regulated supply for the microphone board.

Software
A control program is required which will monitor the signal received from the directional microphone, identify the different sound sources and drive the vehicle to each one in turn. You have complete freedom to design and develop this software as you wish. You also have some freedom to design the sound sources.

Simple sound recognition can be done by comparing the frequency spectrum to a set of known spetrum patterns (templates) stored in memory. Each template would contain the key frequency components of the sound that represents a particular sound source. If a sound is found to match one of these templates, then the corresponding sound source has been recognised. Software is supplied to assist with this, if you wish to use it.

Another approach to sound source recognition would be to use digital filters to analyze the sounds.

You may wish to design a more sophisticated system.

The pseudo-code below show in a simplified form the stages required for the controlled vehicle.

while (infinite) do
    repeat
        SampleSignal()
    until Threshold()
    Perform FFT on data
    if (* it is a sound source) then
        Output appropriate data to motor port
end

Place

Team

1st

    Timisoara

2nd

    Bucuresti

3rd

    Suceava

4th

    Craiova

5th

    Iasi

6th

    Chisinau

JURY

President
John MILNER, City University, London

Members
John HILL, City University, London
David STYLES, City University, London
Darius MIKALAUSKAS, City University, London

Stefan cel Mare University of Suceava, ROMANIA
Faculty of Electrical Engineering and Computer Science
Copyright
©2007-2023 hardandsoft.ro

With support from:

Primăria Municipiului Suceava/Consiliul Local - Suceava Town Hall/ Suceava City Council

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