25-08-2017, 09:32 PM
ARM7 BASED SMART CAR SECURITY
SYSTEM.
ARM7 BASED.pdf (Size: 108.16 KB / Downloads: 105)
Abstract -
The main aim of this project is to offer
an advance security system in CAR, which consists of a face
detection subsystem, a GPS module, a GSM module and a
control platform. The face detection subsystem can detect
faces in cars during the period in which nobody should be in
the car, and make an alarm loudly or soundlessly. The other
modules transmit necessary information to users and help to
keep eyes on cars all the time, even when the car is lost.
In todays world, many new techniques such as
biometric recognition technique, image processing
technique, communication technique and so on, have been
integrated into car security systems . At the same time, the
amount of car lost is also increasing. Traditional car security
systems depends on many sensors and cost is also high
.When one car is lost, no more feedback could be available
to help people to find it back.
INTRODUCTION
In this proposed embedded car security system,
FDS (Face Detection System) is used to detect the face of
the driver and compare it with the predefined faces. For
example, in the night when the car’s owner is sleeping
and someone theft the car then FDS obtains images by
one tiny web camera which can be hidden in the car. FDS
compares the obtained image with the predefined images
if the image doesn’t match, then the information is sent to
the owner through MMS.
So now owner can obtain the image of the thief in
his mobile as well as he can trace the location through
GPS.
IMAGE RECOGNITION AND PROCESSING
In this embedded smart car security system, FDS
(face detection subsystem) aims at detect somebody’s face
in the car during the time in which nobody should be in
the car,. FDS obtains images by one tiny digital camera
which can be hidden easily in somewhere in one car.
FDS is used to detect the face of the driver and
compare it with the predefined face, whenever person
enters in car FDS obtains images of that person by one
web camera. FDS compares the obtained image with the
predefined images if the image doesn’t match then the
information is send to the owner through MMS.
CONCLUSION
From this we implement image-recognition
techniques that can provide the important functions
required by advanced intelligent Car Security, to avoid
vehicle theft and protect the usage of unauthenticated
users. Secured and safety environment system for
automobile users and also key points for the investigators
can easily find out the hijackers image. We can predict the
theft by using this system in our day to day life. This
project will help to reduce the complexity and improve
security, also much cheaper and ‘smarter’ than traditional
ones.
Because of the flexibility of embedded system, the
embedded smart car security system is extendable for
special purposes. The System offers a widely
communication bandwidth with the car control system to
change data and information, and new functional modules
can be easily added to the system to upgrade and enhance
it.