ANPR

2.  Automatic Number Plate Recognition (or 'number plate recognition') is
a special form of optical character recognition (OCR).
 It enables computer systems to read automatically the registration
number (license number) of vehicles from digital pictures.
 Reading automatically the registration number means transforming the
pixels of the digital image into the ASCII text of the number plate.
 OCR technology scans paper documents and turn them into
electronic, editable files.
 Capturing of fast moving vehicles needs special technique to avoid
motion blur . To ensure the right image quality short shutter time is
used with high-power illumination.

3.  The best illumination is the IR, because the retro-reflective plates
reflect this kind of light and it is undetectable for the human eye.
 This combination works fine during day and night and provides
constant good image quality.
 Only dedicated ANPR cameras meet these requirements, which
provide flexible shutter control with built-in IR flash and able to
catch the vehicles up to 250km/h which is suitable for all kind of
license plate reading applications.

4.  ANPR has two technological issues:
 The quality of license plate recognition software with its applied
recognition algorithms, and
 The quality of image acquisition technology, the camera and
the illumination.
 The very key factor is the number plate recognition software.
 A sophistication recognition software should have following
features
 the highest recognition accuracy
 the fastest processing speed
 the most type of number plates it can handle,
 the widest range of picture quality it can handle,
 the most tolerant against distortions of input data .

5.  The key technological parts of an ANPR system:
 high accuracy Optical Character Recognition (OCR) – is an
essential requirement
 technology image acquisition technology - determines the
average image quality the number plate recognition algorithm
has to work on.

6.  Different CARMEN software versions are used for different ANPR
application areas
 There are basically 3 versions
 CARMEN Free Flow : general-purpose license plate recognition
engine , used for processing images of fast moving vehicles
 CARMEN Parking Lane: developed for parking management
applications where automatic identification of vehicles is
needed.
 CARMEN Parking: cost-effective solution, which is ideal for
parking, vehicle entry and access control systems. It is capable
of the automatic detection, identification and recognition of the
registration number of any vehicle.

7.  It is highly accurate, fail safe and stable, fast and intelligent.
 it provides the highest technological performance
 It can be integrated into practically any ANPR system
 Features:
 offers general-purpose license plate reading from digital pictures
of any type of sources.
 provide high quality car plate recognition for very different type
of images and plates with default settings.
 98.5% recognition rate (correct reading/total number of input)

8.  Applications:
 Intelligent Transportation Systems (ITS),
 security systems
 motorway toll collection (highway toll collection),
 traffic analysis,
 police law enforcement,
 state border control,
 enforcement of traffic regulations,
 vehicle theft prevention,
 automation and simplification of airport,
 harbor and warehouse logistics,
 security monitoring of roads and checkpoints
 vehicle surveillance

9.  specially designed for parking systems, security systems and
access control systems.
 It has a unique integration level of license plate recognition
technology, the video acquisition technology and the processing of
multiple images of video streams.
 It comes with an industrial quality native driver for image acquisition
and video streaming, providing a plug-and-play core number plate
recognition module (software and capture card) for car park and
vehicle access control systems.

10.  Features:
 offers flexible,
 low maintenance,
 effective and intelligent technology for car park operation.
 reduces costs as well as increasing efficiency and security.

11.  A parking lot equipped with Carmen Parking can provide:
 Flexible and automatic vehicle entry to and exit from a car park
 Management information about car park usage
 Improved security for both car park operators and car park users
 Improved traffic flow during peak periods
 Vehicle recognition through date and time stamping as well as
exact location
 Comprehensive database of traffic movement can be managed
 Applications:
 car park management,
 car parking automation,
 occupation management,
 automation of access control,
 security access control,
 flotilla management (car pool management),
 automation of vehicle entry to and exit from car parks,
 inventory management,
 state border control

12.  used for one or two lanes of access control systems.
 With integration CARMEN Parking Lane into parking management
systems, it is possible to automate vehicle entry to and exit from a
car park or a secure zone and to use the recognized registration
number for inventory management.
 specially developed for parking management applications where
automatic identification of vehicles is needed.
 provides accurate and quick identification of vehicles without
human assistance.

13.  Supported Operating System :
 Windows
 Linux
 Programming Languages :
 Python

14.  Processor : Intel Core Duo 1.2 GHz
 RAM : 1 GB DDR2
 Graphics : Integrated Intel graphics controller
 HDD : Automotive 40GB (Flashdrive: optional)
 Network : Gigabit LAN controller
 Input/output:
 2 x RJ45 LAN
 2x serial
 3x USB2.0
 DVI + VGA out
 PS2 for keyboard
 Mic + line in, line out
 Composite + S-video TV out
 Power: Input voltage: 9-30 VDC (5.4A @ 9DC)
 Power consumption: max. 50W (typical 15-20W)
 Power Module with UPS :
 Smart Battery, Li-Polymer, 3000mAH
 GPS receiver and antenna included
 Windows XP Professional included

16.  producing more accurate results
 lesser response time
 prescribed vehicle number
 specifications of vehicle number plates

17.  Parking
 Access Control
 Motorway Road Tolling
 Border Control
 Journey Time Measurement
 Law Enforcement

18.  we have presented technique to recognize
number plate of vehicles.
 introduced Image capture
 In our system we detect the number plate
and save number plate details.

19.  [1] Harpreet Kaur, M. B. (Nov-2012). VEHICLE LICENSE PLATE DETECTION
FROM EDGE DETECTION AND MORPHOLOGICAL OPERATORS.
International Journal of Engineering Research & Technology(IJERT)
ISSN:2278-0181 Vol.1 Issue 9 .
 [2] Bailmare, M. H. (2013). A REVIEW PAPER ON VEHICLE NUMBER PLATE
RECOGNITION USING IMPROVED CHARACTER SEGMENTATION
METHOD. International journal of Scientific and Research Publication ,Volume
3 .
 [3] Aishwarya Agrawal, N. P. (2017). AUTOMATIC LICENCE PLATE
RECOGNITION USING RASPBERRY PI. International Interdisciplinary
Conference on Science Technology Engineering Management Pharmacy and
Humanities. Singapore.
 Website
 www.anpr.net
 en.wikipedia.org/wiki/Automatic_number_plate_recognition

20. THANK YOU

21. ANY QUESTIONS???