IRJET- Automatic License Issuing System

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 03 | Mar 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 625
Automatic License Issuing System
Anitha R1, Raja nandhini J2, Shubham Mallappa Saygaon3, Sowndariyaa T4, Vignesh S5
1Assistant Professor, Electronics and Communication Engineering, Sri Shakthi Institute of Engineering and
Technology, Coimbatore, Anna University, Chennai, Tamilnadu, , India.
2,3,4,5Electronics and Communication Engineering, Sri Shakthi Institute of Engineering and Technology,
Coimbatore, Anna University, Chennai, Tamilnadu, India.
---------------------------------------------------------------------***----------------------------------------------------------------------
Abstract: This project focuses on automatic riding pattern
recognition based on monitoring the driver behaviour. To
prevent illegal licenses and therefore causing accidents, a
new automated system is proposed. The proposed system
need to design the wireless sensor network and also the
multi sensor fusion based detection approach for detecting
result. The map management is also needed to compare
the test data from Vehicle data Recorder (VDR) with
reference data. Mapping and multi-fusion sensor
combination transmission is done using remote server. The
proposed system is the elimination process of existing
process to issue Indian driving license. For this applicant
will be allotted the test vehicle for test drive with the
number of sensors connected embedded in vehicle sending
data using wireless sensor network to remote server to get
processed. Result analysis is done by comparing the
received data with previous data.
Index terms – PIC controller (pic16F877A), LCD, ZigBee,
Force sensor, Piezo sensor, MEMS, Gas sensor.
1. INTRODUCTION
Wireless Integrated Network Sensors (WINS)
combine sensing, signal processing, decision capability,
and wireless networking capability called zigbee which
is a compact, low power system. On a local, wide-area
scale, battlefield situational awareness will provide
personnel health monitoring and enhance security and
efficiency. Also, on a metropolitan scale, new traffic,
security, emergency, and disaster recovery services will
be enabled by WINS. Here first it identifies the node
where the harmonic signals are produced by the strange
objects and the intensity of the signal will be collected
.The signal will be sent to the main node. The processing
of the regular interval data from the nodes will be
analyzed and based on the intensity of the signals and
the direction of the detecting nodes gets changing will be
observed and the results will be sent to the satellite
communication system.
1.1 Force sensor:
A force-sensing resistor is a material whose
resistance changes when a force, pressure or mechanical
stress is applied. They are also known as "force-sensitive
resistor" and are sometimes referred to by the initialism.
For the best response of the sensor, is convenient placing
them to the location. Where the effect of acting force is
highest. In this case which is dealing with measuring on
the handlebars, was the best solution placing the sensors
close to the canter of the handlebars, near to the
handlebars holder.
Fig-1: Force sensor
1.2 Piezo sensor:
Conductivity or Foot rest sensor is the measure of a
solution’s ability to pass or carry an electric current. The
term conductivity is derived from ohm’s law, E=I.R;
Where Voltage (E) is the product of Current (I) and
Resistance (R); resistance is determined by
Voltage/Current. When a voltage is connected across a
conductor, a current will flow, which is dependent on the
resistance of the conductor. Conductivity is simply
defined as the reciprocal of the resistance of a solution
between two electrodes.
Fig-2: Piezo sensor

1.3 MEMS Accelerometer sensor:
These sensors are used to measure the acceleration
produced by driver’s body during the driving analysis.
They usually consist of a central unit that process data
(the microprocessor) and several components that
interact with the surroundings such as microsensors.
Because of the large surface area to volume ratio of
MEMS, produced by ambient electromagnetism (eg,
electrostatic charges and magnetic moments), and fluid
dynamics (eg, surface tension and viscosity) and more
important design considerations than with larger scale
mechanical devices.
Fig-3: MEMS
1.4 Smoke sensor:
A smoke sensor is a device that senses gas/smoke. In
this we consider the smoke produced is a device that
detects the presence of gases in an area, often as part of a
safety system. This type of equipment is used to detect a
gas leak or other emissions and can interface with a
control system so a process can be automatically shut
down. A gas detector can sound an alarm to operators in
the area where the leak is occurring, giving them the
opportunity to leave. This type of device is important
because there are many gases that can be harmful to
organic life, such as humans and animals.
Fig-4: Smoke sensor
1.5 LCD:
A liquid-crystal display (LCD) is a flat panel display
or other electronically modulated optical device that
uses the light modulating properties of liquid crystals.
Liquid crystals do not emit light directly, instead using a
backlight or reflector to produce images in colour or
monochrome.
Fig-5: LCD
2. EXISTING SYSTEM
For all bike, to pass in driving test, he/she drive a
bike in path designed as no. 8 in between the 20meter
distance, for turning he/she should put a Indicator as
well as show a hand signal and to stop the bike we raise
our hand above the head. This should be done without
our legs touching the ground. The motorcycle driving
test is a standard test and all test centers use the same
testing procedures. The test is designed to determine
that you: Know the Rules of the Road and possess the
knowledge and skill to drive competently in accordance
with those rules.
Drive with proper regard for the safety and
convenience of other road users. In conventional license
system, there is no electronics based monitoring
techniques involved. RTO officers checks the ability of
the driver pattern manually.Travel route monitoring
system is existed using GPS.Helmet wearing and alcohol
detection based system is proposed in bikes.Detecting
accurate driving pattern manually is challenging.
3. PROPOSED SYSTEM
The proposed project implements a real time
machine-learning framework for riding pattern
recognition. Riding pattern data are collected from
accelerometer/gyroscope sensors mounted on
motorcycles. Using an instrumented vehicle and an
embedded data logger, experimental data are collected
when different subjects drive a given sequence several
times.
The goal is to create a machine-learning approach
that can recognize the riding pattern from the collected

measurements. The results can be used to determine,
from among the classified situations, those that are time
critical events and/or near misses. This proposed project
is also aims at monitoring the Emission of CO constraints
from the vehicle and report it to the RTO station with CO
sensor.
4. BLOCK DIAGRAM
Fig-6: Transmitting side
Fig-7: Receiving side
4.1 PIC16F877A Controller:
The PIC microcontroller PIC16F77A is one of the most
renowned microcontroller in the industry. This
controller is very convenient to use, the coding or
programming of this controller is also easier. One of the
main advantages is that it can be write-erase as many
times as possible because it use FLASH memory
technology. It has a total number of 40 pins and there are
33 pins for input and output. PIC16F877A is used is
many pic microcontroller projects. PIC16F877A also
have many application in digital electronics circuits. It
finds its applications in huge number of devices. It is
used in remote sensors, security and safety devices,
home automation and in many industrial instruments.
An EEPROM is also featured in it which makes it possible
to store some of the information permanently like
transmitter codes and receiver frequencies and some
other related data. The cost of this controller is low and
its handling is also easy. Its flexible and can be used in
areas where microcontrollers have never been used
before as in coprocessor applications and timer
functions etc.
Fig-8: PIC microcontroller
4.2 RS 232:
In telecommunications, RS-232 is a standard for
serial binary data signals connecting between a DTE
(Data terminal equipment) and a DCE (Data Circuit-
terminating Equipment). It is commonly used in
computer serial ports. In RS-232, data is sent as a time-
series of bits. Both synchronous and asynchronous
transmissions are supported by the standard. In addition
to the data circuits, the standard defines a number of
control circuits used to manage the connection between
the DTE and DCE. Each data or control circuit only
operates in one direction that is, signaling from a DTE to
the attached DCE or the reverse. Since transmit data and
receive data are separate circuits, the interface can
operate in a full duplex manner, supporting concurrent
data flow in both directions. The standard does not
define character framing within the data stream, or
character encoding.Female 9 pin plug is used here.
Fig-9: RS-232
PIC16F
877A
Contro
ller
Anal
og
to
Digit
al
Conv
erte
r
Force
Hand
grip
Sensor
ME
MS
S
m
ok
e
se
ns
or
LCD
Dis
play
UART
Conv
erte
r
Footres
t Piezo
Sensor
CC2
50
0
Mod
ule
Rx
Po
w
er
Un

4.3 ZigBee CC2500 module:
ZigBee is the name of a specification for a suite of high
level communication protocols using small, low- power
digital radios based on the IEEE 802.15.4 standard for
wireless personal area networks (WPANs), such as
wireless headphones connecting with the cell phones via
short-range radio. The technology is intended to be
simpler and cheaper than other WPANs, such as
Bluetooth. Zigbee is targeted at radio-frequency (RF)
applications which require a low data rate, long battery
life, and secure networking. It provides extensive
hardware support for packet handling, data buffering,
burst transmissions, clear channel assessment, link
quality indication and wake on radio. It can be used in
2400-2483.5 MHz ISM/SRD band systems. Low power
consumption. High sensitivity (type 104dBm).
Programmable output power – 20dBm ~ 1dBm.
Operation temperature range 40 ~ + 85 deg C. Operating
voltage: 1.8 ~ 3.6 volts. Available frequency at: 2.4 ~
2.483 GHz.
5. OPERATION
This project work consists of four sensors force
sensor, piezo sensor, MEMS sensors, smoke sensor
respectively.
The PIC16F877A is a programmed with vision
IDE and is connected to the LCD display and a receiver.
Where the driving pattern analysis datum are collected
in PIC and is transmitted to the receiver where the
ZigBee CC2500 is connected through serial port. The
datum that are collected by the receiver are transmitted
to the RTO station and from that it get processed and the
final result is stored in the IoT server to avoid the
repeatation of same driver’s documents.
6. RESULT AND DISSCUSSION
This method is used to analyse the driver’s driving
pattern so that many accidents could be avoided by this
rash driving.It can reduce the use of manual selection of
driver’s licence, and to avoid the issuing of illegal licence.
To avoid these illegal behaviours this method is
implemented.
Fig-10: Software output
7. CONCLUSION
The on-line driving pattern recognition is achieved by
calculating the feature vectors and classifying these
feature vectors to one of the driving patterns in the
reference database.This project is built with a method to
identify driving patterns with enough accuracy and less
sampling time compared than other manual driving
pattern recognition.
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