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Mobile audio sensing autonomous robot/ Mohd Syamil Bin Mohd Salleh

By:

Mohd Syamil Mohd Salleh

Material type: Text

TextPublication details: Kuantan, Pahang : UMP, 2009Description: 56 p. : ill. ; 30 cm. + 1 computer discISBN:

THE0006075(Local)

Other title:

Mobile audio sensing autonomous robot [electronic resource]

Subject(s):

Dissertation note: Project paper (Bachelor of Electrical Engineering (Electronic)) -- Universiti Malaysia Pahang - 2009 Summary: M.A.S.A.R is an audio sensing robot that detect audio frequency. A beacon of fixed frequency is used as the audio source in this case a buzzer is used as the beacon. M.A.S.A.R detection system consists of 4 electrets condenser microphones are used to detect the sound emitting from the buzzer. The signal is then filter out by using a high-pass filter to make the output consist only of high frequency outputs. These outputs are then compared in the microcontroller. Microchip’s PIC18F4550 is used as the microcontroller for its ease of use and flexibility. By using the analog to digital converter inputs at PORTA, the filtered frequency will be digitize into 8 bits of data that is than compare with the other inputs from the other 3 microphones. The result of this comparison is evaluated by which quadrant the sound make the most noise. By referring to the quadrant the robot will rotate and then moves forward towards the sound while maintaining the primary microphone in front , directly facing the point of origin. The robot will automatically readjust it position by rotating until the primary microphone is in line with the source.

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Holdings ( 2 )
Title notes ( 2 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Final Year Report	UMPLIB PEKAN	CD 3301 \| TJ211 .S93 2009 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000037853
Final Year Report	UMPLIB PEKAN	TJ211 .S93 2009 rs Bc. (Browse shelf(Opens below))	1	Not for loan		0000037852

Project paper (Bachelor of Electrical Engineering (Electronic)) -- Universiti Malaysia Pahang - 2009

M.A.S.A.R is an audio sensing robot that detect audio frequency. A beacon of fixed frequency is used as the audio source in this case a buzzer is used as the beacon. M.A.S.A.R detection system consists of 4 electrets condenser microphones are used to detect the sound emitting from the buzzer. The signal is then filter out by using a high-pass filter to make the output consist only of high frequency outputs. These outputs are then compared in the microcontroller. Microchip’s PIC18F4550 is used as the microcontroller for its ease of use and flexibility. By using the analog to digital converter inputs at PORTA, the filtered frequency will be digitize into 8 bits of data that is than compare with the other inputs from the other 3 microphones. The result of this comparison is evaluated by which quadrant the sound make the most noise. By referring to the quadrant the robot will rotate and then moves forward towards the sound while maintaining the primary microphone in front , directly facing the point of origin. The robot will automatically readjust it position by rotating until the primary microphone is in line with the source.