DESIGNING A COMPLETE VEHICLE
SAFETY AND ALERT SYSTEM
INTEGRATED IOT
INTRODUCTION
• Vehicle security system has been a topic of great interest over the years due to the increasing vehicle
theft cases reported all over the world. Most of the advanced vehicle security systems best suit the four
wheelers. As far as the security system for two wheelers is concerned, the systems available in market
are of no match to the well equipped thieves. When under attack, these systems can only immobilize the
vehicle safety alert. It is a serious limitation. In this project we propose a reliable and robust design of
Vehicle Security System (VSS) with features enhancing the security of the vehicle. In our proposed
security system various new features are included in addition to the Key alert system. Few of the
important features supported by this system are Internet of Things Technology. Redundancy is
maintained to make the system reliable even in the worst case scenario, but due to cost constraints a
tradeoff between cost and redundancy was necessary. This system is designed to be compatible with
almost all the brands of vehicle.
•
ABSTRACT
• In automotive applications, vehicle safety is one of the important aspects
in the area of security system. The crime related to vehicle safety and
alert system has been a tremendous rise in every day. This generates a
crucial need for an effective vehicle safety diagnosis system. In this
project, a compact, efficient system is studied, designed and explored.
An integrated control system, which is monitors vehicle status
conditions and the right authentication using fingerprint sensor. Alcohol
presence is continuously monitored using sensors and whenever alcohol
detects vehicle engine needs to shut down to avoid accidents.
EXISTING SYSTEM
• At present the vehicle theft cases are common in cities
Insecurity of vehicle is one of the major challenges
that the India is facing now, each state having their
peculiar security issues. The crime rate in society these
days has become a threatening issue such that vehicles
are now used for committing criminal activities more
than before.
LITERATURE SURVEY
SECURITY AND PRIVACY IN THE INTERNET OF VEHICLES
ABSTRACT:
Internet of Vehicles (IOV) is a typical application of Internet of things in the field
of transportation, which aims at achieving an integrated intelligent transportation
system to enhance traffics, to avoid accidents, to ensure road safety, and to
improve driving experiences. Due to its characteristics of dynamic topological
structures, huge network scale, non-uniform distribution of nodes, and mobile
limitation, IOV systems face various types of attacks, such as authentication and
identification attacks, availability attacks, confidentiality attacks, routing attacks,
data authenticity attacks and etc., which result in several challenging requirements
in security and privacy. Many security scientists made numerous efforts to ensure
the security and privacy for the Internet of Vehicles in recent years. This paper
aims to review the advances on issues of security and privacy in IOV, including
security and privacy requirements, attack types, and the relevant solutions, and
discuss challenges and future trends in this area.
AUTHORS: Yunchuan Sun, Lei Wu, Shizhong Wu, Shoupeng Li,
A SECURE AUTHENTICATION PROTOCOL FOR INTERNET OF VEHICLE
ABSTRACT:
An Internet of Vehicles (IoV) allows forming a self-organized network and
broadcasting messages for the vehicles on roads. However, as the data are
transmitted in an insecure network, it is essential to use an authentication
mechanism to protect the privacy of vehicle users. Recently, Ying et al.
proposed an authentication protocol for IoV and claimed that the protocol could
resist various attacks. Unfortunately, we discovered that their protocol suffered
from an offline identity guessing attack, location spoofing attack, and replay
attack, and consumed a considerable amount of time for authentication. To
resolve these shortcomings, we propose an improved protocol. In addition, we
provide a formal proof to the proposed protocol to demonstrate that our
protocol is indeed secure. Compared with previous methods, the proposed
protocol performs better in terms of security and performance.
AUTHORS: CHIEN-MING CHEN , BIN XIANG, YINING LIU ,
FACE RECOGNITION IN AUTOMOTIVE APPLICATIONS
ABSTRACT:
Already available Advanced driver-assistance systems technologies, like lane
departure, cruse control, blind spot detection, etc. are constructing a model of
the external environment, helping to increase the security in traffic. With the
advance of the autonomous driving, the car makers are shifting the focus also
into the interior of the car. Face recognition, i.e. recognizing a person, based
on a picture, which is highly available on social platforms(e.g. Facebook)
poses a challenge when it has to be implemented in an automotive system, due
to smaller computational power and lower memory currently available in such
system. This paper explores the possibility to implement a face recognition on
an automotive embedded system. The system is composed from a infrared
camera, 1MPixel resolution, and an image processing unit based on TDA3x
AUTHORS: Danut Rotar, Horia Popa Andreescu.
REAL TIME APPLICATION OF VEHICLE ANTI THEFT DETECTION AND PROTECTION WITH SHOCK USING FACIAL RECOGNITION AND IOT NOTIFICATION
ABSTRACT:
Enhancement in vehicle technology system is getting increased research
popularity and adding a vehicle theft security system in order to avoid getting
vehicle theft in the parking and sometimes driving in unsecured places. The
proposed system provided security and better theft control by using facial
recognition and giving shock treatment, when the unauthorized person try to
start the ignition and will be notified by the IOT application. The system uses
Microprocessor raspberry pi along with a pie cam and a WIFI controller
installed in the vehicle the implemented system is very simple with greater
security for vehicle anti-theft protection and low cost technique compared to
others.
AUTHORS: Syed fasiuddin, Syed Omer, Dr. Khan Sohelrana.
REAL TIME SMART CAR LOCK SECURITY SYSTEM USING FACE DETECTION AND RECOGNITION
ABSTRACT
An improved face detection and recognition method based on information of skin
color is proposed in this paper. Color is a powerful fundamental cue of human faces.
Skin color detection is first performed on the input color image to reduce the
computational complexity. Morphological operations are used and it gives a prior
knowledge for face detection. Face is detected by Adaboost algorithm. AdaBoost
learning is used to choose a small number of weak classifiers and to combine them into
a strong classifier deciding whether an image is a face or not. Then, by using principal
component analysis(PCA) algorithm, a specific face can be recognized by comparing
the principal components of the current face to those of the known individuals in a
facial database built in advance.
AUTHORS: S.Padmapriya ,Esther Annlin KalaJames,
PROPOSED SYSTEM
The proposed system consists of two sections
• Authorization section
• Helmet section
Authorization section consists of microcontroller with finger print and face recognition by python image
processing. Only the vehicle on, when the fingerprint sensor is matching with face. If the fingerprint does
not match, then the vehicle does not turn on. And that data updated in IOT.
In vehicle section consists microcontroller with gas sensor and IR sensor If the driver consumes the
alcohol sensed by the gas sensor, then the alcohol consumption is updated in IOT web page In vehicle
section consists microcontroller with gas sensor and IR sensor If the driver consumes the alcohol sensed
by the gas sensor, then the alcohol consumption is updated in IOT web page and turn off motor. And also
need helmet wear identify by the IR sensor.. And also need helmet wear identify by the IR sensor.
BLOCK DIAGRAM:
AUTHORIZATION SECTION:
FACE
POWER
DETECTION
SUPPLY
SYSTEM
UART
LCD
DRIVER
CIRCUIT IOT
MICRO
CONTROLLER
DC MOTOR
WSN
FINGER PRINT
SENSOR
HELMET SECTION:
POWER
SUPPLY
GAS SENSOR
LCD
WSN
MICRO
CONTROLLER
IR SENSOR
HARDWARE REQUIREMENTS
• MICROCONTROLLER
• FINGER PRINT SENSOR
• UART
• DRIVER CIRCUIT
• DC MOTOR
• IOT
• GAS SENSOR
• LCD DISPLAY
• IR SENSOR
• POWER SUPPLY
SOFTWARE REQUIREMENTS
• EMBEDDED C
• ARDUINO IDE
• PYTHON IDE
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