Open AccessAlgorithmic Methodology Based Automobile Theft Detection and Prevention System
Author(s) -
Ms. Monika Soni
Publication year - 2013
Publication title -
international journal of new practices in management and engineering
Language(s) - English
Resource type - Journals
ISSN - 2250-0839
DOI - 10.17762/ijnpme.v2i03.18
Subject(s) - computer science , computer security , gsm , global positioning system , facial recognition system , face (sociological concept) , face detection , biometrics , artificial intelligence , pattern recognition (psychology) , computer network , sociology , telecommunications , social science
To prevent and identifying the theft problem, smart car is an ultimate solution. When a person enters into car, automatically takes the photos of driver .Using Principal Component analysis algorithm, checks the photos of driver already stored in the database and decide the person is authorized or unauthorized. If the person is authorized, the person can access the vehicle. When the person is unauthorized. Using GSM and MMS modem, send messages to the user’s mobile number and then the car speed gets slow down. The ignition unit of the car can stops and the door cannot open. Using GPS, the location of the car and thief can easily identified using algorithmic approach. Any facial expressions and background conditions can changes in images, detection cannot takes place. To avoid this problem, face recognition and face detection algorithm can be used.