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 APNR 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.  the Carmen Parking ANPR package contains the following elements:  Automatic number plate recognition engine  FXVD4mc_s grabber card  Functions library (ANSI C/C++, MSVC/C++, MSVB and Delphi, ActiveX, OCX)  Demo and test applications  Tutorial and sample programs both in executable and source code.  High Resolution Camera equipped with a special and synchronized IR flash.(optional)

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.  ANPR consists of following hardware products :  Image capturing -FXCAM LPR/ANPR camera series : to provide good quality images  ARH Car PC for Mobile ANPR applications : is a mobile PC with unique features like GPS receiver and GPS antenna.  Video signal digitizing -FXVD4 frame grabber card : the primary function of this card is digitizing the video signal. FXVD4mc_s is a high quality 4-channel frame grabber card

14.  The smart shutter technology enables you to make an adaptive image capturing system, controlled automatically by software.  Effective range is up to 20 meters (65 ft) but it may vary depending on the specific environmental conditions.  Ideal for both moving traffic and access control (parking management) applications.  Image quality:  Resolution: 752X480 pixels, ROI support  Image processing speed: 60 frames/sec at full image size  Continuous, or triggered buffering for 60 full size images  Lossless RAW image format  Adjustable gain and shutter time 1/100 to 1/30000 sec  No extra illumination required

15.  Lens:  High quality motorized zoom and iris (effective range 3-20m)  IR pass filter included  High speed and ultra sensible image sensor :  CMOS monochrome WideVGA (pixel size 6ľm x 6ľm)  Global Shutter TrueSNAP  Dynamic range up to 100dB  High performing illumination :  High power IR LEDs - ideal for ANPR day & night  Strong sunlight / shadow correction  Power consumption :  Isolated 24-28V AC or 30-36V DC input (50-60Hz)  Optional 12V DC (FXCAM202)  Less than 15W (26V AC) [depending on heating ON/OFF]  Reverse polarity protection

17.  FXVD4mc_s is a high quality 4-channel frame grabber card  function of this card is digitizing the video signal by an Bt878 video capture chip.  To improve the reliability and stability of a stand-alone system the FXVD4mc_s has a secondary function the watchdog.  This function helps to reboot the computer when a system crashes  On the card there is a RISC co-processor which serve the hardware protection of the software

18.  Interface : PCI 2.1 AD  conversation : Bt87  Input : 4 x BNC video, 75 Ohm  Watchdog : Programmable with 1-250 sec. delays  Supported Operating System :  Windows Vista 32bit, XP, 2003, 2000  Linux  Programming Languages :  Visual C/C++  Visual Basic  Borland Delphi  Visual Basic.NET  C#  Java  GCC and Java under Linux

19.  Additional Tools :  SDK for easy integration  DLLs and ActiveX components  Video Formats : PAL or NTSC (75 W, 1 Vp-p)  Video Framing : Full, Field, Half @ any / odd / even  Image Output : Memory, file  File Types : BMP, JPEG  File Formats : Grayscale, RGB15, RGB16, RGB24, RGB32, YUV422  Documentation :Reference Manual in electronic format  System Requirements : Free PCI slot with Bust Mastering support  Power consumption : approx. 450mA  Size : 97 mm x 120 mm

21.  PC-based system which is specially designed for mobile installation  The anti-vibration protection and the anti-shock protection makes its usage reliable in vehicles.  it has unique features like  Intelligent (programmable) UPS  GPS receiver  GPS antenna  Advantages:  Maintenance free operation  No moving parts  Configurable

22.  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

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

26.  www.anpr.net  en.wikipedia.org/wiki/Automatic_number_plate_recognition

27. THANK YOU

28. ANY QUESTIONS???