Vehicle License Plate Scanning System: Project, Risks, and Scope

This project focuses on developing a vehicle license plate scanning system using Raspberry Pi and Linux, aiming to provide real-time vehicle tracking and improve traffic management. The project scope includes vehicle plate optical scanning and car owner identification, while excluding real-time driver identification and GPS positioning. Key deliverables include a live vehicle tracking system and automatic number plate recognition. The project identifies potential risks such as mechanism failure, misinterpretation, and hacking, and outlines assumptions regarding improved security and traffic flow. Stakeholder contact information, reporting requirements, and roles are detailed to ensure effective project management and communication. The project schedule includes tasks like licensing, project planning, requirement understanding, research, and risk management.

Running Head: VEHICLE LICENSE PLATE SCANNING SYSTEM
Vehicle license plate scanning system
Name of the Student
Name of the University
Author Note

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VEHICLE LICENSE PLATE SCANNING SYSTEM
Table of Contents
3.1 Scope:...................................................................................................................................3
3.2 Project output and deliverables:...........................................................................................4
3.3 Risks:....................................................................................................................................5
3.4 Project Assumptions:............................................................................................................6
6. Project Schedule.....................................................................................................................6
7.1 Stakeholder Contact Information.........................................................................................7
7.2 Stakeholders reporting requirement...................................................................................11
7.3 Roles and Responsibility....................................................................................................12
References................................................................................................................................14

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VEHICLE LICENSE PLATE SCANNING SYSTEM
3.1 Scope:
The vehicle plate recognition system is an existing technology in the field of
automobile industry. The technology uses optical character scanning technique on the images
which is attached with the number plate of the vehicles. Also, it can help to organize the
traffic better. With solving this type of big issues it can also help to solve many minor issues
such as parking management, toll plaza management, access control and the border control.
The main scope of this project is to develop a system with real time tracking details of a
vehicle. To develop this system Raspberry Pi and the Linux system will be used. A Raspberry
Pi is a single board computer system. The main processor used in the latest Raspberry Pi is
the Broadcom BCM2837B0 which is based onARM Cortex-A53 architecture(Vujović &
Maksimović, 2015).This processor consists a 512KB L2 cache. The GPU used in this module
is the VideoCore IV. For the case of the RAM the latest Raspberry Pi 3 uses 1 GB of total
ram. The Raspberry Pi uses a Wi-Fi connectivity of 2.4 GHz for network connectivity and
also it has Bluetooth 4.1 connectivity. This Raspberry can use the Linux distribution which
will be used in this case(Vujović & Maksimović, 2015).Thus if a vehicle got stolen this
system can easily find the car with its exact location. Such system relies on the two basic
things which are the scanning technology and scanned item. Here the scanning technology
uses a complex optical scanning technology and subject of scanning is the license plate. So
the limitation occurring in this project is due to this two things. The optical scanning
technology may fail in the foggy weather and license plate may be not available for scanning
if it is covered by something and if the license plate is damaged somehow.
Project Scope IN SCOPE OUT SCOPE
Vehicle plate optical scanning. Identify the car owner by
accessing the data of the number
plate.
Car identification is included in
the project but real time driver
identification is excluded from the

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VEHICLE LICENSE PLATE SCANNING SYSTEM
project.
Live tracking status of vehicle Can track any individual car, live
status of a traffic of a particular
area, finding a stolen car.
Car tracking system is included in
the project but fetching the GPS
positioning of the car is excluded
from the project.
Crime reduction Identifying hot listed cars and the
drivers who are breaking the
signals and not following the
traffic rules or involved with some
criminal activities.
Identifying the cars which was
related with a crime but
identifying the criminal is
excluded from the project.
Security Measures By scanning those number plate
this system can create a log file
which will give all the data about
the vehicle. This technology is
used to reduce the crime such as
car stolen car and bike cases.
Rectifying steps are not mentioned
in this process. This is the main
reason that the scope of this
project is not very efficient in
nature
3.2 Project output and deliverables:
Completion of the project will give the output of the live vehicle tracking system
along with the automatic vehicle number plate recognition system (Ogbe, 2018). This new
system will be able to deliver the route which the target is taking. In this case, for the
hardware parts the main part is the Raspberry Pi and for the programming part Linux is used.
The output of the project will work by running an optical scanning over the license plate of
the target car. Every traffic signal post in the city will be equipped this optical scanning
technology. Whenever a vehicle will break rule it will automatically scan the number plate of
the vehicle and will identify the owner of the vehicle from the database and will send a legal
notice will be sent to the owner of the car. Also it will be able to track the route of a vehicle
by gathering data from various units of the optical scanner which will be available at the
every traffic signals of the city. Also, this system can help to find a stolen car by finding its
last scanning location data from the database but has some limitations which is already
discussed. The working condition for this mechanism is that the optical scanner must able to

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VEHICLE LICENSE PLATE SCANNING SYSTEM
scan the license plate and the license plate must not be tampered (Khin, Phothisonothai &
Choomchuay 2017).
3.3 Risks:
Though this automatic vehicle number plate recognition system has various types of
benefits but it has some major risks related with it. The major risks related with this system is
the uncertainty issue. It is uncertain that this mechanism will always work or will always give
the 100% of it. In many cases it can be failed. With the failure case another major risks
related with this project is the misinterpretation (Keall & Newstead, 2016). Misinterpretation
is more complicated problem compared to the failure cases. In the misinterpretation cases this
automatic number plate recognition system may detect another vehicle instead of detecting
the actual vehicle. Another very important risk case is the hacking issue. This system can be
hacked easily by the attacker by detecting vulnerabilities in it. The attacker can make changes
in the algorithm for some personal benefits which can lead to a dangerous situation
(Shladover & Nowakowski, 2017).
Risk Table
High Mechanism Failure Mechanism failure can be
a big problem as the
whole system collapses
License plate damage
can be an issue for
the individual cases
but it does not affect
the whole system
Medium Misinterpretation
Hacking
Misinterpretation can be
issue while detecting any
car. This can be rectified
easily.
Data protection

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VEHICLE LICENSE PLATE SCANNING SYSTEM
Low Damaged License
Plate
Hacking is a big issue in
this as the attacker got all
the access of internal data
and vehicle information.
Security issues
High .Medium Low
3.4 Project Assumptions:
This project can deliver a high security in the vehicle department. It can help the law
enforcement department to fight against the raising crimes related with the vehicles. With this
it is also assumed that this project will help to build a better trafficking system in the city
(Wang, Pretorius & Abbosh, 2016). Using this smart technologies it is possible to track every
vehicle in the city which is the main reason behind the better trafficking in the city. As this
project is providing a better trafficking system it is assumed from the project that it will help
to reduce number of road accidents. Stolen vehicles can be also discovered using this
technology but there are some conditions in this case.
6. Project Schedule
Task Mode Task Name Duration Start Finish
Auto
Schedule
d
Licensing 43 days Mon 06-08-
18
Wed 03-10-
18
Auto
Scheduled Initialising 7 days Mon 06-08-
18
Tue 14-08-
18
Auto
Scheduled project planning 4 days Mon 06-08-
18
Thu 09-08-
18
Auto
Scheduled
Requireemnt
underastnding 1 day Fri 10-08-18 Fri 10-08-18
Auto
Scheduled Research 2 days Mon 13-08-
18
Tue 14-08-
18
Auto
Scheduled Data collection 19 days Wed 15-08-
18
Mon 10-09-
18

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VEHICLE LICENSE PLATE SCANNING SYSTEM
Auto
Scheduled Survey conduction 9 days Wed 15-08-
18
Mon 27-08-
18
Auto
Scheduled result evaluation 9 days Tue 28-08-18 Fri 07-09-18
Auto
Scheduled Interview processing 1 day Mon 10-09-
18
Mon 10-09-
18
Auto
Scheduled Execution 9 days Tue 11-09-
18 Fri 21-09-18
Auto
Scheduled
Using Rashberry pie
for efficient functioning 5 days Tue 11-09-18 Mon 17-09-
18
Auto
Scheduled
implementing LINUX
platform 2 days Tue 18-09-18 Wed 19-09-
18
Auto
Scheduled
Assembling LINUX
and Rashberry pie
system
1 day Thu 20-09-
18
Thu 20-09-
18
Auto
Scheduled
Assembling of the
platform oriented
instruments
1 day Fri 21-09-18 Fri 21-09-18
Auto
Scheduled Risk management 8 days Mon 24-09-
18
Wed 03-10-
18
Auto
Scheduled Risk analysis 2 days Mon 24-09-
18
Tue 25-09-
18
Auto
Scheduled Impact calculation 1 day Wed 26-09-
18
Wed 26-09-
18
Auto
Scheduled
Risk mitigation
policy 3 days Thu 27-09-
18
Mon 01-10-
18
Auto
Scheduled
Implementing the
planned policy 2 days Tue 02-10-18 Wed 03-10-
18
7.1 Stakeholder Contact Information
Stakeholder Stakeholder
Name
Description Phone no Email
Client Johnson Main purpose of
a client is to
approve the
quality of the
[phone] [e-mail]

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VEHICLE LICENSE PLATE SCANNING SYSTEM
product and
service
Senior Manager Symonds Job role of Senior
manager is to
control the basic
functioning of
the business
proceeding
[phone] [e-mail]
Project
Manager
Glenn The main
purpose of the
project manager
is to understand
the process and
this progress is
coordinated with
the processing of
the data
management
planning with the
help of initiation
stage and this is
the major reason
of hiring project
manager
(02)468362473 [e-mail]
Sponsor Shane Sponsor plays the
most important
role in
completion of the
(02)345628745
[e-mail]

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VEHICLE LICENSE PLATE SCANNING SYSTEM
project as the
sponsor ensures
that the data
management that
is performed is
proclaimed with
the help of funds
that is provided
for completion of
the project is
arranged by the
sponsor
Project Team
Member
Shaun Project Team
Manager plays
one of the most
important aspect
of completion of
the entire project
[phone] [e-mail]
Employees Tim Employees are in
charge of
completion of the
project with
highest frequency
(02)453678276 [e-mail]
Government
Agencies
Cahill Government
Agencies are the
prospect that the
government
legalizes the
[phone] [e-mail]

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VEHICLE LICENSE PLATE SCANNING SYSTEM
product
transformation
Media Lee Popularization of
the entire product
based
terminology is
termed as the
media benefits
(02)563835283 [e-mail]
7.2 Stakeholders reporting requirement
Stakeholder Interest Key interest Communicationvehicle Date and time Purpose
Client High Meeting of
deadline
Email, phone, face to face
meetings
21st October
2018
Approval of
the project
Senior
Manager
High Efficient
project
completion
Face to face 20thOctober
2018
Checking of
the project
Project
Manager
High Project
initiation and
project
planning
Face to face 11th October
2018
Task
management
Sponsor High Efficient
completion of
the project
with higher
fund allocation
Face to face 1st October
2018
Funding
process
Project Team
Member
High Better
completion of
the project
Face to face 19th October
2018
Completion of
the project

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VEHICLE LICENSE PLATE SCANNING SYSTEM
Employees High Task
completion
Face to face 10th October
2018
Functioning of
the project
Government
Agencies
High Legalization
of the product
Face to face 20th October
2018
Legalizing
products
Media High Marketing of
the product
Face to face 16th October
2018
Marketing
7.3 Roles and Responsibility
Stakeholders Stakeholder duties
Client Buying of the product and providing reference
regarding the processing of the entire project and
approval of the quality of the task
Senior Manager Managing the entire project and monitoring the same
and processing of data management
Project Manager Initiating the project
Sponsor Funding of the project
Project Team Member Functioning of the entire project
Employees Working on the project
Government Agencies Legalization of the project
Media Popularizing the product

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VEHICLE LICENSE PLATE SCANNING SYSTEM
References
Keall, M. D., & Newstead, S. (2016). Development of a method to rate the primary safety of
vehicles using linked New Zealand crash and vehicle licensing data. Traffic injury
prevention, 17(2), 151-158.
Ogbe, B. (2018). Design and Implementation of a web-based Vehicle Licensing
System (Doctoral dissertation, Godfrey Okoye University).
Oni, O., Oshin, O., Oni, O., & Idachaba, F. (2015). Web-based Portal for Vehicle Licensing
Management. In Proceedings of the World Congress on Engineering (Vol. 1).
Rees, G. B. (2015). Vision standards for driving: what ophthalmologists need to know.
Semmens, J. (2017). Improving Road Safety by Privatizing Vehicle and Driver Testing and
Licensing. In Street Smart (pp. 115-132). Routledge.
Shladover, S. E., & Nowakowski, C. (2017). Regulatory challenges for road vehicle
automation: Lessons from the california experience. Transportation Research Part A:
Policy and Practice.
Wang, Y., Pretorius, A. J., & Abbosh, A. M. (2016). Low-profile antenna with elevated
toroid-shaped radiation for on-road reader of RFID-enabled vehicle registration
plate. IEEE Transactions on Antennas and Propagation, 64(4), 1520-1525.
Vujović, V., & Maksimović, M. (2015). Raspberry Pi as a Sensor Web node for home
automation. Computers & Electrical Engineering, 44, 153-171.
Khin, O., Phothisonothai, M., & Choomchuay, S. (2017, November). License Plate Detection
of Myanmar Vehicle Images from Dissimilar Angle Conditions. In 2017 21st