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Night vision camera system for intruder detection in indoor and outdoor environment / Sak Jenn Shin

By:

Sak, Jenn Shin

Material type: Text

TextPublication details: Kuantan, Pahang : UMP, 2015Description: xiv, 36 p. : ill. (some col.) ; 30 cm. + 1 CD-ROMISBN:

THE0005359(Local)

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Dissertation note: Project Paper (Bachelor of Mechatronic Engineering) -- Universiti Malaysia Pahang – 2015 Abstract: This project presents the detection of intruder existence by using a night vision camera system in indoor and outdoor environment. The entire project is done by using image processing techniques via OpenCV which run on Linux environment. The challenge of this project focuses on the detection ability of intruder by using a webcam at a fixed distance in low light condition. The histogram is generated to show the tonal variations and distribution of every frame of the images. Intruders can be detected by detecting the changes occur in the foreground image and the changes of histogram from the real-time video streaming through the webcam.

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Holdings ( 2 )
Title notes ( 4 )

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Final Year Report	UMPLIB PEKAN	FKP .J46 2015 r Bc. (Browse shelf(Opens below))	1	Not for loan		0000108179
Final Year Report	UMPLIB PEKAN	CD 8510 \| FKP .J46 2015 r Bc. (Browse shelf(Opens below))	1	Not for loan		0000108180

Faculty of Manufacturing Engineering

Project Paper (Bachelor of Mechatronic Engineering) -- Universiti Malaysia Pahang – 2015

Bibliography: p. 30

This project presents the detection of intruder existence by using a night vision camera system in indoor and outdoor environment. The entire project is done by using image processing techniques via OpenCV which run on Linux environment. The challenge of this project focuses on the detection ability of intruder by using a webcam at a fixed distance in low light condition. The histogram is generated to show the tonal variations and distribution of every frame of the images. Intruders can be detected by detecting the changes occur in the foreground image and the changes of histogram from the real-time video streaming through the webcam.