The document describes an automatic number plate recognition system that could be implemented for Pakistan's traffic security. It discusses the components of an ANPR system including license plate capture cameras, recognition software, and a database. The goals are to reduce crime, monitor traffic flow, and control access at places like parking lots. It provides details on camera requirements, recognition process, use cases for ANPR, and a bibliography.
AUTOMATIC LICENSE PLATE RECOGNITION SYSTEM FOR INDIAN VEHICLE IDENTIFICATION ...Kuntal Bhowmick
Automatic License Plate Recognition (ANPR) is a practical application of image processing which uses number (license) plate is used to identify the vehicle. The aim is to design an efficient automatic vehicle identification system by using the
vehicle license plate. The system is implemented on the entrance for security control of a highly restricted area like
military zones or area around top government offices e.g.Parliament, Supreme Court etc.
It is worth mentioning that there is a scarcity in researches that introduce an automatic number plate recognition for indian vechicles.In this paper, a new algorithm is presented for Indian vehicle’s number plate recognition system. The proposed algorithm consists of two major parts: plate region extraction and plate recognition.Vehicle number plate region is extracted using the image segmentation in a vechicle image.Optical character recognition technique is used for the character recognition. And finally the resulting data is used to compare with the records on a database so as to come up with the specific information like the vehicle’s owner, registration state, address, etc.
The performance of the proposed algorithm has been tested on real license plate images of indian vechicles. Based on the experimental results, we noted that our algorithm shows superior performance special in number plate recognition phase.
A Review Paper on Automatic Number Plate Recognition (ANPR) SystemAM Publications
Automatic Number Plate Recognition system i.e. ANPR system is an image processing technology. In which
we uses number plate of vehicle to recognize the vehicle. The objective is to design an efficient automatic vehicle
identification system by using the vehicle number plate, and to implement it for various applications such as automatic toll
tax collection, parking system, Border crossings, Traffic control, stolen cars etc. The system has color image inputs of a
vehicle and the output has the registration number of that vehicle. The system first senses the vehicle and then gets an
image of vehicle from the front or back view of the vehicle. The system has four main steps to get the required
information. These are image acquisition, plate localization, character segmentation and character recognition. This
system is implemented and simulated in Matlab 2010a.
Abstract:
With an everyday increase in the number of cars on our roads and highways, we are facing numerous problems, for example:
• Smuggling of cars
• Invalid license plates
• Identification of stolen cars
• Usage of cars in terrorist attacks/illegal activities
In order to address the above issues, we took up the project of developing a prototype, which can perform license plate recognition (LPR). This project, as the name signifies, deals with reading, storing and comparing the license plate numbers retrieved from snapshots of cars to ensure safety in the country and ultimately help to reduce unauthorized vehicles access and crime.
License Plate Recognition (LPR) has been a practical technique in the past decades. It is one of the most important applications for Computer Vision, Patter Recognition and Image Processing in the field of Intelligent Transportation Systems (ITS).
Generally, the LPR system is divided into three steps, license plate locating, license plate character segmentation and license plate recognition. This project discusses a complete license plate recognition system with special emphasis on the Localization Module.In this study, the proposed algorithm is based on extraction of plate region using morphological operations and shape detection algorithms. Segmentation of plate made use of horizontal and vertical smearing and line detection algorithms. Lastly, template matching algorithms were used for character recognition.
The implementation of the project was done in the platforms of Matlab and OpenCV.
The Internet of Things (IoT) is the network of
physical objects devices, vehicles, buildings and
other items embedded with electronics, software,
sensors, and network connectivity that enables
these objects to collect and exchange data.
Starting from small houses to huge industries,
surveillance plays very vital role to fulfill our
safety aspects as Burglary and theft have always
been a problem. In big industries personal security
means monitoring the people’s changing
information like activities, behavior for the purpose
of protecting, managing and influencing
confidential details. Surveillance means watching
over from a distance by means of electronic
equipment such as CCTV cameras but it is costly
for normal residents to set up such kind of system
and also it does not inform the user immediately
when the burglary happens.
Automatic Number Plate Recognition (ANPR) is a highly accurate system capable of reading vehicle number plates without human intervention through the use of high speed image capture with supporting illumination, detection of characters within the images provided, verification of the character sequences as being those from a vehicle license plate, character recognition to convert image to text; so ending up with a set of metadata that identifies an image containing a vehicle license plate and the associated decoded text of that plate.
Drowsiness State Detection of Driver using Eyelid Movement- IRE Journal Confe...Vignesh C
A presentation on Drowsiness State Detection of Driver using Eyelid Movement in IRE Journal publications in Volume 2 Issue 10 2019. In the field of automobile, drowsiness causes more setbacks, which this presentation initiate a step in finding the solution.
AUTOMATIC LICENSE PLATE RECOGNITION SYSTEM FOR INDIAN VEHICLE IDENTIFICATION ...Kuntal Bhowmick
Automatic License Plate Recognition (ANPR) is a practical application of image processing which uses number (license) plate is used to identify the vehicle. The aim is to design an efficient automatic vehicle identification system by using the
vehicle license plate. The system is implemented on the entrance for security control of a highly restricted area like
military zones or area around top government offices e.g.Parliament, Supreme Court etc.
It is worth mentioning that there is a scarcity in researches that introduce an automatic number plate recognition for indian vechicles.In this paper, a new algorithm is presented for Indian vehicle’s number plate recognition system. The proposed algorithm consists of two major parts: plate region extraction and plate recognition.Vehicle number plate region is extracted using the image segmentation in a vechicle image.Optical character recognition technique is used for the character recognition. And finally the resulting data is used to compare with the records on a database so as to come up with the specific information like the vehicle’s owner, registration state, address, etc.
The performance of the proposed algorithm has been tested on real license plate images of indian vechicles. Based on the experimental results, we noted that our algorithm shows superior performance special in number plate recognition phase.
A Review Paper on Automatic Number Plate Recognition (ANPR) SystemAM Publications
Automatic Number Plate Recognition system i.e. ANPR system is an image processing technology. In which
we uses number plate of vehicle to recognize the vehicle. The objective is to design an efficient automatic vehicle
identification system by using the vehicle number plate, and to implement it for various applications such as automatic toll
tax collection, parking system, Border crossings, Traffic control, stolen cars etc. The system has color image inputs of a
vehicle and the output has the registration number of that vehicle. The system first senses the vehicle and then gets an
image of vehicle from the front or back view of the vehicle. The system has four main steps to get the required
information. These are image acquisition, plate localization, character segmentation and character recognition. This
system is implemented and simulated in Matlab 2010a.
Abstract:
With an everyday increase in the number of cars on our roads and highways, we are facing numerous problems, for example:
• Smuggling of cars
• Invalid license plates
• Identification of stolen cars
• Usage of cars in terrorist attacks/illegal activities
In order to address the above issues, we took up the project of developing a prototype, which can perform license plate recognition (LPR). This project, as the name signifies, deals with reading, storing and comparing the license plate numbers retrieved from snapshots of cars to ensure safety in the country and ultimately help to reduce unauthorized vehicles access and crime.
License Plate Recognition (LPR) has been a practical technique in the past decades. It is one of the most important applications for Computer Vision, Patter Recognition and Image Processing in the field of Intelligent Transportation Systems (ITS).
Generally, the LPR system is divided into three steps, license plate locating, license plate character segmentation and license plate recognition. This project discusses a complete license plate recognition system with special emphasis on the Localization Module.In this study, the proposed algorithm is based on extraction of plate region using morphological operations and shape detection algorithms. Segmentation of plate made use of horizontal and vertical smearing and line detection algorithms. Lastly, template matching algorithms were used for character recognition.
The implementation of the project was done in the platforms of Matlab and OpenCV.
The Internet of Things (IoT) is the network of
physical objects devices, vehicles, buildings and
other items embedded with electronics, software,
sensors, and network connectivity that enables
these objects to collect and exchange data.
Starting from small houses to huge industries,
surveillance plays very vital role to fulfill our
safety aspects as Burglary and theft have always
been a problem. In big industries personal security
means monitoring the people’s changing
information like activities, behavior for the purpose
of protecting, managing and influencing
confidential details. Surveillance means watching
over from a distance by means of electronic
equipment such as CCTV cameras but it is costly
for normal residents to set up such kind of system
and also it does not inform the user immediately
when the burglary happens.
Automatic Number Plate Recognition (ANPR) is a highly accurate system capable of reading vehicle number plates without human intervention through the use of high speed image capture with supporting illumination, detection of characters within the images provided, verification of the character sequences as being those from a vehicle license plate, character recognition to convert image to text; so ending up with a set of metadata that identifies an image containing a vehicle license plate and the associated decoded text of that plate.
Drowsiness State Detection of Driver using Eyelid Movement- IRE Journal Confe...Vignesh C
A presentation on Drowsiness State Detection of Driver using Eyelid Movement in IRE Journal publications in Volume 2 Issue 10 2019. In the field of automobile, drowsiness causes more setbacks, which this presentation initiate a step in finding the solution.
The ANPR (Automatic Number Plate Recognition) using ALR (Automatic line
Tracking Robot) is a system designed to help in recognition of number plates of vehicles.
This system is designed for the purpose of the security and it is a security system.
For more details
http://projectsofashok.blogspot.com/2010/04/anprautomatic-number-plate-recognition.html
Automatic license plate recognition system for indian vehicle identification ...Kuntal Bhowmick
Automatic License Plate Recognition (ANPR) is a practical application of image processing which uses number (license) plate is used to identify the vehicle. The aim is to design an efficient automatic vehicle identification system by using the
vehicle license plate. The system is implemented on the entrance for security control of a highly restricted area like
military zones or area around top government offices e.g.Parliament, Supreme Court etc.
It is worth mentioning that there is a scarcity in researches that introduce an automatic number plate recognition for indian vechicles.In this paper, a new algorithm is presented for Indian vehicle’s number plate recognition system. The proposed algorithm consists of two major parts: plate region extraction and plate recognition.Vehicle number plate region is extracted using the image segmentation in a vechicle image.Optical character recognition technique is used for the character recognition. And finally the resulting data is used to compare with the records on a database so as to come up with the specific information like the vehicle’s owner, registration state, address, etc.
The performance of the proposed algorithm has been tested on real license plate images of indian vechicles. Based on the experimental results, we noted that our algorithm shows superior performance special in number plate recognition phase.
Artificial Neural Network (ANN), Automatic Number Plate Recognition (ANPR), Character Segmentation,Edge detection, Extraction plate region, Image Segmentation, Number plate recognition, Number Plate, Optical Character Recognition.
Programmed Number Plate Recognition is truncated as ANPR. An Automatic Number Plate Recognition utilizes optical character acknowledgment innovation to naturally peruse vehicle tag as an Image.
Founded with a vision to provide world class telematics solutions to Indian transportation industry, we are serving the clients in Taxi, School bus, Cash Transportation, Ready Mix Concrete and Frozen Goods Transportation segments. The company was started by a group of professionals with decades of experience in the high tech industry with global exposure.
This number plate recognition system facilitates the police to enforce traffic rules & regulations, identify & detect the stolen vehicles, and find out the owner of the vehicles involved in a criminal case. Staff at a toll plaza use it as an electronic toll collection.
The purpose of Vision is to introduce a proper solution for car license plate detection used for access restriction and monitoring cars accessing the parking area through the entrance ramp.. The solution is implemented using C++ and Node.js libraries and designed as a desktop application able to detect and read car license plates from still images taken by the on-location camera.Vision analyzes images and video streams to identify license plates. The output is the textual representation of any license plate characters, the car’s color, make and model.
Company Profile- SYNERGYLABS TECHNOLOGY (2).pdfSynergyLabsTeam
Check out the video to know more about SynergyLabs as it is well funded bootstrapped organization that was started in 2017 to help fintech startups accelerate growth with stable and scalable solutions.
We are an integral part of Wish4tech Solution Pvt. Ltd , a consulting engineering firm with expertise in the field of telecommunications. We provide planning, engineering and project management services for telecom transmission networks, broadband wireless access networks, network management systems and broadcast facilities. We have earned global reputation for excellence in manpower consultancy, engineering and project management.
MyCarCity A Unit of Wish4Tech Solutions Pvt. Ltd., (A Delhi Govt. approved) is a leader in providing solutions for Fleet and Mobile resource management. We Provide and develop exciting solutions and products ranging from highly integrated, School Management System, Vehicle Tracking System, Asset Tracking System, Taxi Dispatch System, R.F.I.D. and various other security solutions.
Our application is designed for all segments . To target a diverse consumer base, from enterprise clients to product end-users and specialized users, we have highly integrated Vehicle Tracking System, Assets Tracking System, Taxi Dispatch System, School Management System and various other security solutions. However, with the advancement of the technology and increase in the volume of the business especially in the logistics and transportation segment, not a single segment can be deprived of the influence of the modern technology and management. , designed keeping in mind the need of the customers.
MyCarCity is very well equipped and offers numerous benefits such as vehicle management, event management and warning, site management, knowing status of the asset, manage field service, tracing vehicle in emergency etc.
MyCarCity A Unit of Wish4Tech Solutions Pvt. Ltd., (A Delhi Govt. approved) is a leader in providing solutions for Fleet and Mobile resource management. We Provide and develop exciting solutions and products ranging from highly integrated, School Management System, Vehicle Tracking System, Asset Tracking System, Taxi Dispatch System, R.F.I.D. and various other security solutions.
Our application is designed for all segments . To target a diverse consumer base, from enterprise clients to product end-users and specialized users, we have highly integrated Vehicle Tracking System, Assets Tracking System, Taxi Dispatch System, School Management System and various other security solutions. However, with the advancement of the technology and increase in the volume of the business especially in the logistics and transportation segment, not a single segment can be deprived of the influence of the modern technology and management. , designed keeping in mind the need of the customers.
MyCarCity is very well equipped and offers numerous benefits such as vehicle management, event management and warning, site management, knowing status of the asset, manage field service, tracing vehicle in emergency etc.
Similar to Automatic number plate recognition (20)
[Note: This is a partial preview. To download this presentation, visit:
https://www.oeconsulting.com.sg/training-presentations]
Sustainability has become an increasingly critical topic as the world recognizes the need to protect our planet and its resources for future generations. Sustainability means meeting our current needs without compromising the ability of future generations to meet theirs. It involves long-term planning and consideration of the consequences of our actions. The goal is to create strategies that ensure the long-term viability of People, Planet, and Profit.
Leading companies such as Nike, Toyota, and Siemens are prioritizing sustainable innovation in their business models, setting an example for others to follow. In this Sustainability training presentation, you will learn key concepts, principles, and practices of sustainability applicable across industries. This training aims to create awareness and educate employees, senior executives, consultants, and other key stakeholders, including investors, policymakers, and supply chain partners, on the importance and implementation of sustainability.
LEARNING OBJECTIVES
1. Develop a comprehensive understanding of the fundamental principles and concepts that form the foundation of sustainability within corporate environments.
2. Explore the sustainability implementation model, focusing on effective measures and reporting strategies to track and communicate sustainability efforts.
3. Identify and define best practices and critical success factors essential for achieving sustainability goals within organizations.
CONTENTS
1. Introduction and Key Concepts of Sustainability
2. Principles and Practices of Sustainability
3. Measures and Reporting in Sustainability
4. Sustainability Implementation & Best Practices
To download the complete presentation, visit: https://www.oeconsulting.com.sg/training-presentations
The world of search engine optimization (SEO) is buzzing with discussions after Google confirmed that around 2,500 leaked internal documents related to its Search feature are indeed authentic. The revelation has sparked significant concerns within the SEO community. The leaked documents were initially reported by SEO experts Rand Fishkin and Mike King, igniting widespread analysis and discourse. For More Info:- https://news.arihantwebtech.com/search-disrupted-googles-leaked-documents-rock-the-seo-world/
3.0 Project 2_ Developing My Brand Identity Kit.pptxtanyjahb
A personal brand exploration presentation summarizes an individual's unique qualities and goals, covering strengths, values, passions, and target audience. It helps individuals understand what makes them stand out, their desired image, and how they aim to achieve it.
VAT Registration Outlined In UAE: Benefits and Requirementsuae taxgpt
Vat Registration is a legal obligation for businesses meeting the threshold requirement, helping companies avoid fines and ramifications. Contact now!
https://viralsocialtrends.com/vat-registration-outlined-in-uae/
Buy Verified PayPal Account | Buy Google 5 Star Reviewsusawebmarket
Buy Verified PayPal Account
Looking to buy verified PayPal accounts? Discover 7 expert tips for safely purchasing a verified PayPal account in 2024. Ensure security and reliability for your transactions.
PayPal Services Features-
🟢 Email Access
🟢 Bank Added
🟢 Card Verified
🟢 Full SSN Provided
🟢 Phone Number Access
🟢 Driving License Copy
🟢 Fasted Delivery
Client Satisfaction is Our First priority. Our services is very appropriate to buy. We assume that the first-rate way to purchase our offerings is to order on the website. If you have any worry in our cooperation usually You can order us on Skype or Telegram.
24/7 Hours Reply/Please Contact
usawebmarketEmail: support@usawebmarket.com
Skype: usawebmarket
Telegram: @usawebmarket
WhatsApp: +1(218) 203-5951
USA WEB MARKET is the Best Verified PayPal, Payoneer, Cash App, Skrill, Neteller, Stripe Account and SEO, SMM Service provider.100%Satisfection granted.100% replacement Granted.
In the Adani-Hindenburg case, what is SEBI investigating.pptxAdani case
Adani SEBI investigation revealed that the latter had sought information from five foreign jurisdictions concerning the holdings of the firm’s foreign portfolio investors (FPIs) in relation to the alleged violations of the MPS Regulations. Nevertheless, the economic interest of the twelve FPIs based in tax haven jurisdictions still needs to be determined. The Adani Group firms classed these FPIs as public shareholders. According to Hindenburg, FPIs were used to get around regulatory standards.
An introduction to the cryptocurrency investment platform Binance Savings.Any kyc Account
Learn how to use Binance Savings to expand your bitcoin holdings. Discover how to maximize your earnings on one of the most reliable cryptocurrency exchange platforms, as well as how to earn interest on your cryptocurrency holdings and the various savings choices available.
Discover the innovative and creative projects that highlight my journey throu...dylandmeas
Discover the innovative and creative projects that highlight my journey through Full Sail University. Below, you’ll find a collection of my work showcasing my skills and expertise in digital marketing, event planning, and media production.
LA HUG - Video Testimonials with Chynna Morgan - June 2024Lital Barkan
Have you ever heard that user-generated content or video testimonials can take your brand to the next level? We will explore how you can effectively use video testimonials to leverage and boost your sales, content strategy, and increase your CRM data.🤯
We will dig deeper into:
1. How to capture video testimonials that convert from your audience 🎥
2. How to leverage your testimonials to boost your sales 💲
3. How you can capture more CRM data to understand your audience better through video testimonials. 📊
B2B payments are rapidly changing. Find out the 5 key questions you need to be asking yourself to be sure you are mastering B2B payments today. Learn more at www.BlueSnap.com.
Building Your Employer Brand with Social MediaLuanWise
Presented at The Global HR Summit, 6th June 2024
In this keynote, Luan Wise will provide invaluable insights to elevate your employer brand on social media platforms including LinkedIn, Facebook, Instagram, X (formerly Twitter) and TikTok. You'll learn how compelling content can authentically showcase your company culture, values, and employee experiences to support your talent acquisition and retention objectives. Additionally, you'll understand the power of employee advocacy to amplify reach and engagement – helping to position your organization as an employer of choice in today's competitive talent landscape.
1. (PROJECT)
BBA - 6
Foundation University Institute of
Engineering And Management Sciences
2. SUBMITTED BY
SAIFULLAH MALIK
BILAL AHMAD
IBRAHEEM ANSER
RAHEEM ANSER
KHALID RAZZAQ
HUSSAIN UD DIN
SUBMITTED TO
MR. WAQAS AHMAD
SUBMISSION DATE
8/06/2010
3. GROUP (MOTTO)
*YOU WERE BORN WITH WINGS, WHY
PREFER TO CRAWL THROUGH LIFE – (RUMI)
*TO WHAT HEIGHT CAN I NOT RISE
*
LIVE EVERYDAY LIKE THERE’S NO TOMMOROW
*
TAKE EVERYTHING I CAN & MORE
QUOTE
*OF ALL THE THINGS I HAVE LOST MISS
MY MIND THE MOST
4. ACKNOWLEDGEMENT
We at first bow our head before Allah Almighty who bestowed
his countless blessings upon us, guided us towards the way of
success, and blessed us with courage of facing problems and
obstacles. We have no words at our command to express our
deepest sense of gratitude of All Mighty Allah who enabled us
to complete our project against all odds.
We wish to place our deep sense of thanks to MR. WAQAS
AHMAD who guided us to complete this project in its true sense.
His valuable experience and knowledge of the field removed
the difficulties at all crucial junctures. We acknowledge
untiring efforts of our teacher who has been a beacon of light
for us. He broadened our horizon by allowing us to research at
our own and gave us free will to right whatever we wanted to.
6. TABLE OF CONTENTS
TOPICS TOPIC NO’S
Introduction
Main characteristics of information system
license plate capture camera
Aim
Objectives
Mission
Strategy
License plate recognition (LPR) system
License plate recognition (LPR) system
Why we need two cameras for traffic surveillance?
License plate recognition software
Anpr system
System components & how they work
Camera requirements
Features
Hardware
Use of anpr systems
8. •License plate recognition (LPR)
INTRODUCTION
A vehicle registration plate is a metal or plastic plate attached to a
motor vehicle or trailer for official identification purposes. The
registration identifier is a numeric or alphanumeric code that
uniquely identifies the vehicle within the issuing region’s database.
Eight types of license plates are used in Pakistan. Each province
and territory issues its own number plate; the federal government
issues number plates for foreign diplomats and vehicles owned by
the
military, police and federal departments (red for foreign diplomats
and green for the federal government.)Sindh’s number plates
are yellow with black letters and numbers for private vehicles and
Black number plates with white letters for commercial vehicles;
Islamabad, NWFP, Azad Jammu and Kashmir, Balochistan
9. and Northern Areas have white number plates with black letters and
numbers
The number plates also have the province or territory’s name at the
bottom. In Punjab however, number plates can be of any color the
vehicle owner chooses, but the first 2 letters represent the city the
vehicle is registered in.
The same all over Punjab and has a sign and’ Punjab’ written on it,
while the white part
has the number of the vehicle. For example:
•RIZ 3725, is a vehicle registered in
•RIW1329, is a vehicle registered in
Rawalpindi, Punjab.
10. MAIN CHARACTERISTICS OF INFORMATION SYSTEM
LICENSE PLATE CAPTURE CAMERA
License plate capture cameras are a specialized form of CCTV camera
that has built in software that helps to identify and capture license
plates on still or moving vehicles. The intelligent traffic modes built
into these cameras allows the camera to compensate for speed,
weather, and headlight issues which all make it challenging to
capture a usable video that identifies license plates.
AIM
•To Reduce Crime and the Fear of Crime
•Reduce Burglaries
•Reduce Vehicle Crime
•Reduce shop theft
11. •Reduce damage and graffiti
•Reduce motorcycle / traffic related nuisance
OBJECTIVES
• ANPR – capitalising on what you already know
MISSION
Delivering superior knowledge at the point of decision
STRATEGY
•Work with Partner Agencies at National, Regional and Local Level
to Share Assets and Data, avoid Duplication and enhance
Operational Effectiveness
12. •Proactively maintain National support and momentum for ANPR
within the Police Service, partner agencies and Government
•Working with the ANPR industry, continue to develop and exploit
Technology to support ANPR activities.
•Promote the better collection, use and weeding of vehicle
intelligence to support ANPR activity, including utilization of
appropriate databases from other agencies
LICENSE PLATE RECOGNITION (LPR) SYSTEM
CCTV Camera Pros license plate recognition (LPR) system, provides
high-resolution video monitoring and recording. Our License Plate
Recognition (LPR) system is an effective video surveillance and
parking lot monitoring solution. Many parking lots have a high
security risk rating. It is difficult for security personnel to monitor
isolated areas or levels of large lots. Most lots need effective digital
surveillance systems to provide live monitoring and continuous
recording. These video surveillance systems provide protection and
reassurance to customers and employees.
13. The license plate capture system activates the LPR recognition
process in two ways.
TWO WAYS PROCESS LPR RECOGNITION
• The first is via software video motion detection, which detects
vehicles passing through the camera and illumination zone.
• The second is by input / output activation, which triggers
recognition and recording upon I/O activation. The system
supports both camera overview and picture-in-picture modes
with ease of monitoring
WHY WE NEED TWO CAMERAS FOR TRAFFIC SURVEILLANCE?
•The monochrome camera produces high-contrast license plate
images characterized by unmatched clarity.
•Simultaneously, a second camera captures color overview images of
vehicles for additional video evidence.
LICENSE PLATE RECOGNITION SOFTWARE
14. •The Geovision-LPR license plate recognition software features:
•High recognition rate
•High recognition speed: < 0.2 second
•Supports up to 8 I/O Trigger or 4 Motion Detection lanes
•Support image up to 720 x 480 (NTSC) providing higher accuracy
•Integrate with GV-series DVR capture cards
•Vehicle counter feature tracks number of vehicles
•Camera overview for vehicle or driver
The GeoVision GV-LPR license plate recognition software is an
effective video security and parking / traffic monitoring solution. To
provide security or allow access to customers and employees,
parking lots can integrate these high efficiency digital surveillance
systems with license plate recognition to enhance lots security and
surveillance efficiency. GV-LPR is used with GeoVision Surveillance
and License Plate Capture Cameras.
LPR (License Plate Recognition) is an image-processing technology
used to identify vehicles by their license plates. This technology is
used in various security and traffic applications, such as gated access-
15. control system. The GV-LPR license plate recognition system
provides high-resolution video monitoring and recording.
The system uses illumination (such as Infrared) and a license plate
capture camera to take the image of the front or rear of the vehicle,
then the GV-LPR license plate recognition software processes
analyzes the images and extracts the plate information. This data is
used for enforcement, data collection, and can be used to open a gate
if the car is authorized or keep a time record on the entry or exit for
automatic payment calculations.
The LPR system significant advantage is that the system can keep an
image record of the vehicle which is useful in order to fight crime and
fraud. An additional camera can focus on the driver face and save the
image for identification reasons.
GV-ANPR SYSTEM
16. SYSTEM COMPONENTS & HOW THEY WORK
A typical LPI/R system is comprised of a video image-acquisition
subsystem, a CPU for image processing and control, a hardware- or
software-based character recognition engine, and a storage or
17. transmission subsystem for electronically recording plate Contents
and data such as date ,time and location
SPECIFICATIONS
Illumination 0.05 LUX or
lower
CAMERA REQUIREMENTS
Minimum Resolution 480 Horizontal
Line
Auto Electronic Shutter
1 / 60 ~ 1 /
Auto White Balance Compensation Required
Backlight Compensation Required
18. FEATURES
•High recognition rate: 99% (at best performance)
•High recognition speed: < 0.2 second
•Support up to 8 I/O Trigger or 4 Motion Detection lanes
•Support Hardware Watchdog
•Support image up to 720 x 480 (NTSC) / 720 x 576 (PAL) providing
higher accuracy
•Integrate with GV-series DVR to retrieve video footage by license
plate number .
•Vehicle counter feature tracks number of vehicles remaining in the
parking lot by counting vehicles entering and exiting the gate
•Camera overview brings focuses on either the vehicle or the driver
19. •License plate recognition database are processed and stored in
Microsoft Access Database for easy and multiple applications
•Multiple recognition technology is applied until a recognition result
is reached
•Alarm will be triggered when an unauthorized or unrecognizable
vehicle is spotted
•Picture-in-Picture window provides camera overview and the last
recognized image
•Video or AVI file is used as recognition input source
•Digital watermark technology is applied to verify authenticity of
video clips
•Text overlay displays license plate numbers on recorded video
image
•Activate recognition by sensor triggers, video motion detection or
Hot Key
•Recognition result triggers I/O Relay or user-defined application
•Recognize and display license plate image registered in database
•Retrievable vehicle entry and exit records by license plate number
20. •JPEG format support allows approximately 2 million JPEG images
to be saved in a 160 GB HDD
•Auto recycle for image storage and database backup
HARDWARE
At the front end of any ANPR system is the imaging hardware which
captures the image of the license plates. The initial image capture
forms a critically important part of the ANPR system which, often
determines the overall performance.
License plate capture is typically performed by specialized cameras
designed specifically for the task.
21. Factors which pose difficulty for license plate imaging cameras
include speed of the vehicles being recorded, varying ambient
lighting conditions, headlight glare and harsh environmental
conditions. Most dedicated license plate capture cameras will
incorporate infrared illumination in order to solve the problems of
lighting and plate reflectivity.
USE OF ANPR SYSTEMS
•Section control, to measure average vehicle speed over longer
distances.
•Border crossings
•Filling stations to log when a motorist drives away without paying
for their fuel.
•Traffic management systems, which determine traffic flow using the
time it takes vehicles to pass two ANPR sites
•Drive Through Customer Recognition, to automatically recognize
customers based on their license plate and offer them their last
selection, improving service to the customer.
•To assist visitor management systems in recognizing guest vehicles