license plate recognition system of asia pacific university

8/11/2019 License Plate Recognition System of Asia Pacific University

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Components of Information Processing Cycle for

A.P.Us License Plate Recognition System (LPRS).

MODULE CODE/ TITLE: CT002-4-0-CIT/Computing and IT

GROUP MEMBERS:

Divakaran a/l Sugumar TP032267 (Group Leader)

Thinesharan a/l BatumalaTP032243

Tharmaintiran a/l S.VisvanathanTP031651

Jenarten RadhakrishnanTP031594

INTAKE CODE: UCFF1305 (G2)

LECTURER: Mr. Hasbullah Bin Osman

DATE DUE: 5th

May 2014


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Computer TechnologyLicense Plate Recognition System 2

Assessment Weightings

Maximum

Marks

Divakaran Thinesh Tharmain Jenarten

G

r

o

u

p

(3

0

%

)

Report

Structure

8

Documentation 8

WBS 7

Submission of

Weekly Report

7

In

di

vi

d

u

al

(7

0

%

)

Oral

Presentation

15

Report Content 10

Diagrams and

Illustrations

10


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Research

analysis and

Critical

discussion

20

Research,

Reading and

Referencing

20

Total Marks 100


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Table of Contents

Abstract ............................................................................................................................... 5

Introduction ......................................................................................................................... 6

SystemDiagram ................................................................................................................... 6

Input .................................................................................................................................... 8

Process .............................................................................................................................. 10

Output ............................................................................................................................... 14

Storage .............................................................................................................................. 15

Communication ................................................................................................................. 18

Technology ....................................................................................................................... 26

Benefits and Weaknesses .................................................................................................. 32

Conclusion ........................................................................................................................ 34

Work Breakdown Structure (WBS) .................................................................................. 35

Acknowledgement ............................................................................................................ 36

Citation and References .................................................................................................... 37

Minutes of Meetings ......................................................................................................... 39

Appendices ........................................................................................................................ 54


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Abstract

The group has decided to study Asia Pacific University's (A.P.U) License Plate

Recognition System (LPRS). This framework was picked on the grounds that its real partcomprised of an engineering known as Car License Plate Extraction and Recognition

Technology (C.A.R.P.E.T) and the objective of this examination was additionally to

study a particular innovation in a framework.

Talking with the singular answerable for the improvement of LPRS and

C.A.R.P.E.T accumulated a significant some piece of data required to build this report.

Other bits of data were accumulated from the World Wide Web chiefly through the

authority C.A.R.P.E.T site. All wellsprings of data are accessible in the reference

segment of this report.

The content of this report comprises of a few unique parts. The main part offers

the info units utilized within this framework and the sort of information that is inputted

into the apparatuses. The following part is the transforming stage, which depicts what

equipment is utilized for handling and how the information is changed over. Later on is

the depiction of the yield gadgets and the yielded data. The stockpiling area, which

characterizes all the stockpiling gadgets utilized within this framework and the

information, which they hold, emulate this. Furthermore are the correspondence area,

which quickly portrays all the transmission media present, and the information that

streams inside them. Consequently is the most vital some piece of this report, which is

the innovation segment, which illustrates in detail the internal workings of the

engineering, C.A.R.P.E.T. To wrap things up is the segment, which depicts the points of

interest and drawbacks of this framework and how it impacted the organization.

From this report, we have looked into the engineering behind vehicle ID frameworks and

how this innovation capacities. We trust that whomever who peruses this report could

profit by looking into the framework and engineering behind this mechanized Auto Park

and different regions where vehicles are distinguished by their permit plate.


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Introduction

The organization that the group has chosen to study is Asia Pacific University or

otherwise called A.P.U. It is a private college which works in showing and looking into

in the field of Information Technology. A.P.U not just gives a wide mixed bag of

recognition and degree programmes jogged in the field of Information Technology,

however it likewise offers business and building courses.

A.P.U was initially established by Datuk Dr. Paramjit Singh and was known as

the Asia Pacific Institute of Information Technology (APIIT) in 1993. In 2004, APIIT

was renamed as University College of Technology and Innovation (UCTI) when it gainedUniversity College status. As of late in 2012, UCTI picked up the title of a being a full-

fledged college, and now it is known as Asia Pacific University (A.P.U). This school is

currently arranged in Technology Park Malaysia at Bukit Jalil and has numerous students

both local and worldwide.

The framework that the group have decided to study is A.P.U's License Plate Recognition

System (LPRS). This framework is answerable for regulating the development of autos

lock stock and done with A.P.U's person and staff auto parks. The group has picked thisframework in light of the fact that it gives off an impression of being a framework that

comprises of data apparatuses, transforming units, yield mechanisms, stockpiling and

specialized gadgets. Moreover this framework additionally has a particular engineering

and this segments structure an Information Processing Cycle which is flawless to meet

the destination of this examination.


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Input(Data + Devices)

Shelly & Vermaat (2010) alludes include as any information and directions entered into

the memory of a PC. This area will blanket the info apparatuses utilized within this

framework and the information. Table 1.1 and 1.2 beneath shows the information

mechanisms with their depiction and capacity.

Input Devices

Hardware Function

CamerasThe cameras used are Panasonic

surveillance cameras

Situated at the barriers of the

student and staff car park

Refer to figure 6.1 and 6.2 in the

appendix for images of the

cameras

Responsible for capturing live video

of the cars that approach the car

park barrier prior to entering the car

park

Captures using an analog video

signal

Transfer this analog video signal to

a capture card for processing

Table 1.1


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Process

Preparing is the stage that happens after the workstation has accepted information from

data mechanisms. Handling proselytes information which are a gathering of natural

things (Shelly & Vermaat, 2010), into data that passes on significance, functional to

individuals and could be utilized for choice making.

Hence, the simple feature information will be changed over into data which is content

that will be utilized to choose the yield. This area blankets the fittings, programming and

innovations answerable for changing over the feature information to content data that

might be utilized to settle on choices. Tables 2.1, 2.2, 2.3, 2.4, 2.5 underneath show eachone transforming segment with its depiction and capacity inside the framework in place.

Hardware Function

Frame Grabber

Is a capture card

Connected in a computer by the PCI

slot

Refer to figure 1.1 on page 12 for

an image of the frame grabber

Receives the analog video signal

from the camera

Processes the analog signal to a

digital video signal which the

computer could understand

Sends this digital video to the

computer for further processing.

Table 2.1


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Software Function

Car License Plate Extraction and Recognition

Technology (CARPET)

This technology is in the form of an software

application

Made by A.P.U

Image processing technology that is utilized

to recognize vehicles by their license plates.

Works by extracting the characters and

numbers from an image and then converting

them to text that could be read by a computer.

Refer to the technology section on page 28 on

how CARPET converts the license plate

image to readable text.

Receives and processes the digital

video by the frame grabber

A video consist of single frame

images

Extracts the image frames within the

video that contains the snapshots of

the car license plate

Analyses the image and converts the

license plate to readable text

CARPET now sends this text

information to CPMS

Software Function

CARPET Management System (CPMS)

Is a software which receives

license plate text information from

CARPET

Keeps track from which camera

the license plate is obtained and

checks the details concerning the

license plate within a MySQL

database

CPMS checks wherever the license plate number is

valid or invalid

It is considered valid when the car license plate is

active in the database and matches the

corresponding camera for the license plate

For example a students license plate should be

captured from camera 1 because camera 1 is the

student car park camera. Only then it is valid.

If it is invalid there is no further action taken

If it is valid, a signal is sent to a device known as

programmable logic controller

Table 2.3

Table 2.2


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Hardware Function

Programmable Logic Controller (PLC)

Programmable Logic Controller or also known

as PLC is a hardware used to automate many

electromechanical processes over the use of

small computers called programmable logic

controllers (PLCs)

Used commonly to control industrial

processes or machines such as movement of

machinery on an assembly line

Designed for real-time use and often must

withstand harsh factory environments

Connected to the computer by RS232 cable

Refer to figure 1.2 on page 12 for an image of

the PLC

PLC is used to control the car park

barriers.

The instructions produced by the

CPMS in the computer to open the

barrier could not be directly

understood by the barrier

The instructions are first sent to the

PLC which is connected to the

computer.

PLC converts these instructions to a

form which the barrier understands

and passes it to the corresponding

barrier of the camera.

Hardware Function

Dell Computer

Standalone Dell computer consisting of a Dual

Core processor, 4 Gigabytes of random access

memory and 500 Terabytes hard disk drive

CARPET and CPMS uses its

processor for processing power

Houses all the above mentioned

software and technology in its hard

disk drive

Both the frame grabber and PLC is

also connected to it

Table 2.4

Table 2.5


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Figure 1.1: Frame Grabber

Figure 1.2: Programmable Logic Controller


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Storage(Devices)

The License Plate Recognition System (LPRS) of Asia Pacific University likewise incorporates capacity

gadgets. Capacity unit is the physical material on which a PC jam information, guidelines, and data

(Shelly & Vermaat, 2010). Capacity is essential for the License Plate Recognition System (LPRS) on the

grounds that it needs to store the entire auto pictures for security reasons and later reference. This

segment will blanket the capacity segments show in the framework.

Hard disk drive

Device Function

Hard disk drive

500 TB capacity

Uses RAID technology (refer page 14)

Refer to figure 3.1 for an image of a

hard disk drive.

The Hard disk drive stores:

Software (MySQL Database,CARPET)

Images of cars which entered and

exited the car park

The car images are deleted every 6

months.

Figure 3.1: Hard disk drive

Table 4.1


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Backup Servers

Device Function

Backup server

Server: Dell PowerEdge 12th

Generation Servers

Location: 3rd

floor of Asia Pacific

University

Makes weekly based backups

Refer to figure 3.3 below for a picture

of the backup server

Preform Backups and copies of:

Complete image of the MySQL

database in the Dell computer

A backup copy of the car images stored

in the Dell computer

Figure 3.3: Backup Server at 3rd

floor of Asia Pacific University

Table 4.3


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Communication

Shelly & Vermaat (2010) alludes workstation correspondence as a procedure in which two or more

workstations or mechanisms exchange information, guidelines, and data. Correspondence is essential for

the entire purpose of the License Plate Recognition System (LPRS) since information and data

requirements to be passed onto distinctive parts for further activity. This area will blanket the mediums

of correspondence that are utilized inside this framework and the information transmitted.

Coaxial Cable - Cameras to Frame Grabber

The cameras are associated with the edge grabber by means of coaxial links. The simple feature

information is exchanged to the edge grabber by these coaxial cables. Figure 4.1 underneath shows the

coaxial cable from the camera and Figure 4.2 on the following page demonstrates the focuses where it

join with the frame grabber:

Figure 4.1: Coaxial Cable from the camera

This is the coaxial cable from the

camera which connects to the Frame

Grabber


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Figure 4.3 above shows the coaxial cable with the depiction of its distinctive parts. The numerous layers

of assurance empower coaxial cables to withstand electronic obstruction, which makes it a favored

method for transmitting clear signs. Coaxial cables are ordinarily utilized for HQ TV, radio, fast web

associations, and likewise in surveillance cameras as seen here.

Figure 4.3: The coaxial cable cable

Figure 4.2: An image of Frame Grabber

with its connection oints

PCI slot of the

Frame Grabber for

connection to the

Coaxial connectors on

the frame grabber to

receive the coaxial cable

from the camera


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PCI (Peripheral Component Interconnect) - Frame Grabber to Computer

The Frame grabber is associated with the PC by a PCI space which is demonstrated in figure 4.2 on page

18, highlighted in the yellow box. Frame grabber passes the simple feature indicator which has been

handled to computerized feature to the machine through this PCI opening. Figure 4.4 underneath shows

the PCI opening on a computer's motherboard with respect to alternate segments.

I.P (Internet Protocol) socket communication - Between CARPET and CPMS

After the license plate picture has been handled to content, CARPET will send this content information

to CPMS by neighborhood I.P (Internet Protocol) attachment correspondence which is modified inside

the framework.

Rug goes about as the sender while CPMS goes about as the collector in this type of correspondence.This permits CARPET to send data to CPMS and CPMS to gain the sent data empowering between

procedure correspondence between the two requisitions.

Figure 4.4: PCI slot on motherboard


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RS-232 CableDell Computer to Programmable Logic Controller (PLC)

If the permit plate number is substantial, the Dell computer will send an indicator to PLC. This indicator

is sent by a RS-232 cable which associate the Dell machine to the PLC. Figure 4.5 beneath shows the

RS-232 cable while figure 4.6 shows the PLC and their association focuses.

Figure 4.6: PLC

Figure 4.5: RS232 cable

Point of connection

to PLC

Point of connection

to computer


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RS-232 was received as a standard for serial parallel information signs joining between a DTE (Data

terminal supplies) and a DCE (Data Circuit-ending Equipment). It is usually utilized within PC serial

ports.

Figure 4.7: The details of the RS232

cable connecters


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Twisted Pair Cables - PLC to Barrier

PLC is joined and transmits indicator to the restraints to open by twisted pair cables. Figure 4.8

underneath shows the PLC and the point where the turned pair interfaces with the PLC.

Figure 4.8: The PLC

PLC output port, the point

where the twisted pair cables

from barriers are connected to

the PLC


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Figure 4.9 above shows the twisted pair cables with its fundamental parts. Contorted sets are usually

utilized within computer organizing. Contorted pair cabling is regularly utilized as a part of information

systems for short and medium length associations in view of its moderately lower expenses contrasted

with optical fiber and coaxial cables.

Figure 4.9: Twisted Pair Cable


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Category 5 (Cat 5)Dell Computer to Backup server/Cashier Computer to Dell Computer

The complete picture of the MySQL database and all the stockpiling information is exchanged to

the reinforcement server by a Cat 5 (Category 5) link or otherwise called a Rj45 link. The system

between clerk and the Dell Computer is likewise structured by Cat 5 link from which the clerk enters the

MySQL database in the Dell Computer.

Figure 4.10 above shows a Cat 5 link and figure 4.11 above shows the items of a Cat 5 link. Feline

5 is the fith era sort of turned pair link used to exchange information. Feline 5 links are fit for supporting

quick ethernet accelerates to 1000 Mbps. Because of its high velocity, Cat 5 links are generally utilized

as a part of a local area network.

Figure 4.10: The ends of a

Cat 5 cableFigure 4.11: The details of a

Cat 5 cable


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Technology

Car License Plate Extraction and Recognition Technology (C.A.R.P.E.T)

C.A.R.P.E.T is a image transforming engineering that is utilized to distinguish vehicles by their permit

plate and works by concentrating characters, for example, words and numbers from a picture. Mr.

Meysam Halakooei, senior framework specialist of CTI, made this engineering, created the technology.

This engineering might be utilized within numerous regions, for example, toll stalls, stopping decks,

outskirt control, and law authorization additionally including auto stops as seen here. The innovation

comprises of two significant parts, which are concentrating the permit plate and character

distinguishment. This area will blanket the steps taken via CARPET to concentrate a permit plate and

the items on character distinguishment strategies utilized.

Tables 4.4, 4.5 and 4.6 show the steps taken by C.A.R.P.E.T to concentrate the permit plate in place.

Steps taken to extract the license plate by C.A.R.P.E.T:

1. The approaching vehicle

will be identified by the

camera using motiondetection method and the

image is converted to

grayscale.

Table 4.4


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2. The image of the vehicle

is then enhanced by the

system to improve the

overall contrast of the image.

3. The system preforms noise

and lines removal to further

remove any unnecessary

objects.

Table 4.5


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4. The location of the license

plate is identified by using

mathematical algorithms and

artificial intelligence in the

system.

5. The system preforms

character segmentation to

isolate each character and

later proceeds to recognise

the individual characters

using Dynamic Time

Warping or Neural Network

method depending oncircumstances.

Table 4.6


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Character Recognition

C.A.R.P.E.T will identify the characters using two different types of method which are Dynamic Time

Warping (DTW) or Neural Network (New Net) depending on circumstances.

Dynamic Time Warping (DTW)

DTW is the method which is used by default by the system for normal number plates such as the

license plate shown in the figure below.

After segmentation, each individual character of the license plate is converted into a matrix of

numbers. This is done by calculating the pixels between the edges to the character and marking the

number of pixels with a number.

After this had been done, the character would have been converted to a matrix. For example:

A=

Figure 5.1: Normal license plate

Figure 5.2: Converting license plate number into a matrix


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This matrix is currently plotted on a 3 Dimensional chart where it is contrasted and all character grid

formats (start to finish, 0 to 9) held in the framework's implicit database which are additionally plotted

on the same diagram. The separation between the plotted point and the various plotted format character

focuses are thought about. The layout character point which has the most limited separation with the

plotted point is accepted as the character of the plotted point.

In Figure 5.3 above, the illustration demonstrates the "?" speaking to the obscure character's framework

is plotted on a diagram with a couple of character format frameworks. Since ?'s network is closest to the

framework of character A's layout, "?" is thought to be the character A.

Thus this system is extremely correct contrasted with other picture transforming systems in light of the

fact that it won't tangle between indistinguishable characters, for example, 0 and O.

Figure 5.3: 3 Dimensional graph of matrices


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Neural Network (New Net)

Neural Network or also known as New Net is used by the system to identify special number plates

such as the license plate shown in the figure below.

In this case, the permit plate characters are not divided to distinctive parts but instead all the

characters are taken all in all. In this way, New Net does not utilize the grid strategy dissimilar to DTW

yet rather recognizes characters by examining them with the formats held in its database. This is carried

out in light of the fact that characters of an uncommon permit plate couldn't be sectioned dissimilar to

typical permit plates.

Due to this, New Net necessities to be prepared by nourishing it with numerous character formats

because of the varieties of unique number plates.

Figure 5.4: Special license plate


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Benefits and Weaknesses

As we know every framework has its solid focuses and frail focuses. This area will blanket the profits

and shortcomings of A.P.U's LPRS and a short outline of the effect the framework and the engineering

had on the organization.

Benefits

1. Saves cost

This LPRS framework is completely mechanized along these lines obliges least human agents.

This spares extra cost to the organization to utilize numerous human drivers to deal with the auto

park.

2. Saves Time and convenient

Current auto parks utilization tickets and auto-pay frameworks that oblige human mediation and

manual work. LPRS computerizes this entire process by transforming installments from a

decided database on passage and passageway times naturally. This spares the client's chance

from bothers, for example, gathering tickets, discovering auto-pay stations, and queuing up to

pay at the auto-pay stations.

3. Security and Law enforcement

The LPRS framework naturally catches pictures of the auto that incorporates the permit plate

number of the auto and different items, for example, entrance and passageway time. The

database of pictures kept in the framework might be utilized to track down an auto in the event of

an engine vehicle burglary.


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Weakness

1. Unable to recognize damaged license plates

In the event that the client's auto permit plate has any deformities, for example, splits, CARPET

is unable to distinguish the auto's permit number not at all like the human eye. This requires a

human admin to be available to distinguish the permit plate number in the event of a broken

permit plate.

2. No Alerts

LPRS arrangement of A.p.u does not have any parts to show any sign that connotes the auto

park is full.

Impact of the system

Asia Pacific University's License Plate Processing System had affected the organization in

different ways. One of the positive impacts of this framework is it permitted the association to spare cost

on labor. Besides, this framework additionally definitely enhanced the security of the college's auto park.

In conclusion, the best effect the framework had on this college was that it gave more elevated amount

employments which include upholding and enhancing the framework and its engineering.


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Conclusion

The License Plate Recognition framework (LPRS) is a framework that is fit for distinguishing

vehicle license plates with the support of an engineering known as Car License Plate Extraction and

Recognition Technology (C.A.R.P.E.T).

Thus this framework with its innovation is practically equipped for completely robotizing a

whole auto stop and giving security in the meantime. However, our further research on the C.A.R.P.E.T

engineering has demonstrated to us that this innovation is restricted to use in auto parks, as well as

pertinent in additional genuine circumstances, for example, by law authorization offices to recognize

vehicles that violate the law.

The substance of this report could additionally be enhanced in different perspectives. Case in

point, explaining the nifty gritty details of the cameras could have enhanced the data segment. Yet

because of time limits, we couldn't get into the parts. Besides, the preparing segment could be better if

the real procedure of changing over the simple feature to advanced be illustrated regulated however of

course couldn't be achieved because of report breaking points. The same could be ruined the change of

directions by the PLC.

The capacity parts, for example, the hard plate and the server could likewise have been

exceptional by rattling off the point-by-point determinations and acquiring clearer photos of these

segments. On the other hand, we were unable to do this because of secrecy matters of the organization.

Moreover, further expounding on how the each of the transmission media exchanges information could

additionally enhance the correspondence segment.

To wrap things up, the LPRS could be enhanced with a couple of results. The PC could utilized

distributed storage engineering to move down its information along these lines the information might be

recuperated regardless of the possibility that both the workstation and the reinforcement server is

harmed. Additionally that, C.A.R.P.E.T could likewise be enhanced by making another character

distinguishment strategy that can read broken or special number plates. This could be conceivable by

actualizing more character formats, which imitate the characters of broken number plates.


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Work Breakdown Structure (WBS)

Element

Divakaran Thinesh Tharmain Jena

Cover Page a a

Table of Contents a

Abstract a

Introduction a

Input (Data + Devices) a

Process a

Output (Information + Devices) a

Storage (Devices) a a

Communication a a a

Technology a a

Benefits, Weakness, Functionality and

impact of the system a a

Conclusion a

Minutes of Meeting a a a a

Reference a a a a

Compilation of all individual parts and

standardization a

Photographs a

System Diagram (page 6) a a

Language check a

Work Breakdown Structure (WBS) a

Group Member


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Acknowledgement

We might want to express our exceptionally extraordinary gratefulness to Armesh Singh, a 2nd

Year Degree student who previously interviewed Mr. Meysam Halakooei, Senior System Engineer who

exposed to him the specialized data in regard to this venture. Without Armeshsdirection, this

undertaking might not have been conceivable.

Also we might take this chance to thank our lecturer, Mr. Hasbullah Bin Osmanfor his valuable

recommendations and studies of this examination throughout the written work of this report. His

guidance has been to incredible use in enhancing the configuration and lucidness of this report.

Finally, we might want to offer an uncommon because of the accompanying organization,

Google Inc. for furnishing us with such a compressive web search tool and different administrations

which served as a real help in gathering information from the World Wide Web and dealing with thistask.


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Citation and References

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Course Technology


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Minutes of Meetings


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1. MINUTES OF MEETING

Agenda of Meeting Self-introduction and project management

Venue APU main campus, Room: L32

Date 20 March 2014

Time 12:15pm12:30pm

Members Attendance

Divakaran Present

Thinesh Present

Tharmain Present

Jena Absent

Meeting Detail s

Member Discussion Suggestion

Divakaran All members got to know each

other and exchanged contact

information. Members also

discussed on methods to manage

the project. Group members also

discussed about who to be

appointed as the leader of this

project in this meeting.

Create Facebook group and

use Google Drive to as the

platform synchronize work.

Volunteers as project

leader.

Thinesh Use Google Drive as the

platform to synchronize

work.

Tharmain Appoint Divakaran as the

project leader.


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Action Detail s

Present actions and decisions taken

Minutes prepared by: Divakaran on 20 March 2014

Member Actions Status

Divakaran -Agreed to be the project

leader.

-Create a group on

Facebook.

-Sync files on GoogleDrive platform.

Completed

Thinesh -Agree to appoint

Divakaran as the project

leader

-Sync files on Google

Drive.

Completed

Tharmain -Sync files on Google

Drive.

Completed

-


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Agenda of MeetingTask Division

Venue Enterprise 3, 3-2:Room 1

Date 21 March 2014

Time 3:00pm3:30pm

Members Attendance

Divakaran Present

Thinesh Present

Tharmain Present

Jena Present

Meeting Detail s

Member Discussion SuggestionDivakaran All members reviewed all the information

about the system that was collected during

interview. All members compiled a list of tasks

that have to be done to prepare the report.

Project leader divided tasks equally among all

group members with everyones agreement.

Thineshlater suggested to post the work

breakdown to the group on Facebook.

Divakaranalso suggested to upload reference

material to Google Drive for later viewing.

-Upload reference material to

Google Drive

Thinesh -Post the work breakdown to

the group on Facebook

Tharmain -Upload reference material to

Google Drive

Jena -Upload reference material to


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Action Detail s

Previous Actions

Member Status

Divakaran Completed

Thinesh Completed

Tharmain Completed

Jena Completed

Present Actions and decisions

Member Action Status

Divakaran Upload voice recording and assignment

question to Google Drive

-Complete

Thinesh Post work breakdown to Facebook group -Complete

Tharmain Upload all pictures and images to Google

Drive

-Complete

Jena Post work breakdown to Facebook group -Complete

Minutes prepared by: Tharmain on 21 March 2014


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Agenda of MeetingStandardizing report format

Venue VirtualFacebook Group

Date 22 March 2014

Time 1:00pm1:10pm

Members Attendance

Divakaran Present

Thinesh Present

Tharmain Present

Jena Present

Meeting Detail s

Member Discussion SuggestionDivakaran Group Leader had decided to standardize the

format of the report. Group leader gave

members his report part so members could see

the format to follow.Thinesh further suggested

to set Friday as the work submission day on

Google Drive.

-Provided the report format to

follow

Thinesh

Tharmain - Submission of work on

every Friday

Jena


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Action Detail s

Previous Actions

Member Status

Divakaran Completed

Thinesh Completed

Tharmain Completed

Jena Completed



Divakaran -Provided the report format to follow

-Complete his part of the report

-Complete

- Complete

Thinesh -Complete her part of the report - Complete

Tharmain -Complete his part of the report - Complete

Jena -Complete his part of the report - Complete



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Agenda of MeetingReport review


Date 28 March 2014

Time 11:00am11:20am

Members Attendance

Divakaran Present

Thinesh Present

Tharmain Present

Jena Present

Meeting Detail s

Member Discussion SuggestionDivakaran Group leader reviewed each members work

that had been uploaded to the Google Drive.

Group leader later on did any necessary

corrections and point out areas that need

further improvement to the group members.

-Point out areas to improve on

report

Thinesh

Tharmain

Jena


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Action Detail s

Previous Actions

Member Status

Divakaran Completed

Thinesh Completed

Tharmain Completed

Jena Completed



Divakaran -Report review

-Point out corrections and improvements to be

done

-Complete

-Complete

Thinesh -Preform the corrections and improvements -Complete

Tharmain -Preform the corrections and improvements -Complete

Jena -Preform the corrections and improvements -Complete



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Agenda of MeetingCompilation of report


Date 2 April 2014

Time 08:00pm09:00pm

Members Attendance

Divakaran Present

Thinesh Present

Tharmain Present

Jena Present

Meeting Detail s

Member Discussion SuggestionDivakaran Group leader reviewed each members work

that had been uploaded to the Google Drive.

Since all individual parts are completed, group

leader suggested the report be compiled. Jena

was given the task to compile the report and

leader provided with a few guidelines.

-Provide guidelines

Thinesh

Tharmain

Jena -Produce a draft design of

report


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Action Detail s

Previous Actions

Member Status

Divakaran Completed

Thinesh Completed

Tharmain -

Jena -



Divakaran - Provide guidelines -Complete

Thinesh -Compile the report -Complete

Tharmain - -

Jena - -

Minutes prepared by: Thinesh on 2 April 2014


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Agenda of MeetingReport review

Venue Old Town White Coffee, South City Plaza

Date 26 April 2014

Time 1:00pm5:00pm

Members Attendance

Divakaran Present

Thinesh Present

Tharmain Present

Jena Present

Meeting Detail s


Divakaran Group leader reviewed the compiled work in

presence of all members. Group leader later on

did any necessary corrections and point out

areas that need further improvement to the

group members. All members proceeded do to

the corrections and improvements during the

meeting to improve the report drastically in a

short period of time.

-Point out areas to improve on

report

Thinesh -Do correction and alignment

of the documentation

Tharmain

Jena


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Action Detail s

Previous Actions

Member Status

Divakaran Completed

Thinesh Completed

Tharmain -

Jena -



Divakaran -Point out corrections and improvements to be

done

-Complete

Thinesh -Preform the corrections and improvements -Complete

Tharmain - -

Jena - -

Minutes prepared by: Thinesh on 28 April 2014


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Agenda of MeetingReport finalization

Venue APU main campus, Room: L32

Date 1 May 2014

Time 12:00pm12:15pm

Members Attendance

Divakaran Present

Thinesh Present

Tharmain Present

Meeting Detail s


Divakaran The report was reviewed for a final time before

printing and submission. All members

expressed their opinions on the report and

agreed that the report is fine and ready for

submission. Members agreed to submit the

report on 29th

of January 2013 after all printing

work has been done by Divakaran.

Thinesh

Tharmain

Jena


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Action Detail s

Previous Actions

Member Status

Divakaran Completed

Thinesh Completed

Tharmain Completed

Jena Completed



Divakaran -Submit the report - Complete

Thinesh -Print the report -Complete

Tharmain - -

Jena - -

Minutes prepared by: Thinesh on 1 May 2013


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Appendices

Figure 6.1: Camera at staff car park

Figure 6.2: Camera at G car

park


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Figure 6.3: Car reservation application on Webspace

license plate recognition system of asia pacific university

Documents