Transcript of "Vehicle detection in aerial surveillance using dynamic bayesian networks"
Vehicle Detection in Aerial Surveillance UsingDynamic Bayesian NetworksAIM:The aim of the project is to design “Vehicle Detection in AerialSurveillance Using Dynamic Bayesian Networks”.COMPONENTS:S3C2440, Webcam, USB device, LCD touch screen display unit.ABSTRACT:Vehicle detection in digital image sequences is one of the keytechnologies of Aerial Surveillance Systems. This project is to design anddevelop a low cost feature which is based on embedded platform for detectingthe vehicles in aerial surveillance system using webcam.Our embedded project uses webcam which is located at different heightsand angles of aerial surveillance system. The webcam combines video sensing,video processing and communication within a single device. It captures a videostream like vehicles, computes the information and transfers the compressedvideo stream to the ARM micro controller.www.nanocdac.com www.nsrcnano.com branches: hyderabad nagpur
Our project uses ARM9 micro controller. The webcam is connected tothe controller through USB device. The controller processes the informationand monitors the results on LCD touch screen display unit.Here we are going to use S3C2440 based micro controller which is 32 bitcontroller to implement this project.BLOCK DIAGRAM:www.nanocdac.com www.nsrcnano.com branches: hyderabad nagpurS3C2440REGULATEDPOWER SUPPLYUSB DEVICEWEBCAMLCD DISPLAYUNITNAND FLASH
IMPLEMENTATION:OPERATING SYSTEM: Linux Ported into controller.TARGET DEVICE: S3C2440 (Friendly ARM).APPLICATION LANGUAGE: ‘C’/ ‘C++’DRIVERS: USB Drivers.APPLICATIONS: Used to detect the vehicles in aerial surveillance system.ADVANTAGES: Low cost, easy to implement, automated operation, and LowPower consumption.REFERENCE:1. The 8051 micro controller and embedded systems by Mazidi.2. Datasheets and the user manuals of ARM9.www.nanocdac.com www.nsrcnano.com branches: hyderabad nagpur