AVERAGE SPEED DETERMINATION

viaLicense Plate Recognition (LPR)

SPSMIKROSI-CUBE

What is License Plate RecognitionWhat is License Plate Recognition?

LPR (License Plate Recognition) is an image processing technology used to identify vehicles by their license plates. LPR is a non-intrusive, computerised method of matching a License Plate to a database of registration numbers.Alternate names for LPR:! Automatic Vehicle

Identification (AVI) ! Car Plate Recognition (CPR) ! Automatic Number Plate

Recognition (ANPR) ! Car Plate Reader (CPR)

Neural networksOperating in real time, are being utilised

extensively world wide. Here I-CUBE uses NEURAL NETWORKS illustrates the concept to identify and track vehicles.

The ability to automatically predict and identify those involved in speeding, theft, illegal transactions or wrongful unitisation of resources greatly empowers local authorities.

1 - Capture2 – Find plate

3 – OCR

4 – Report

LPR - 5 easy steps:

5 – Alarm

Elements of typical LPR systemsLPR systems normally consist of the following units:

•Camera(s) - that take the images of the car (front or rear side)

•Illumination - a controlled light that can brighten up the plate, and allow day and night operation.

•Frame grabber - an interface board between the camera and the PC, allows the software to capture the image information

•Computer - normally a PC running Windows or Linux to run the LPR application which controls the system, reads the images, analyzes and identifies the plate, and interfaces with other applications and systems.

•Software - the application and the recognition package. Usually the recognition package is supplied as a DLL (Dynamic Link Library).

•Hardware - various input/output boards used to interface the external world.

•Database - the events are recorded on a local database or transmitted over the network.

LPR Log

LICENSE PLATE, LANE, USER, DATE

NMR 5628,..........,1,Yes,,Sat Aug 14 09:05:16 2004,

NMR 3970,.........., 2,No,,Sat Aug 14 09:05:18 2004,

MKF359GP,..........,1,Yes,David Smith,Sat Aug 14 09:05:20 2004,

LJD977GP,..........,3,No,,Sat Aug 14 09:05:22 2004,

ND474276,..........,2,Yes,Daniel Bush,Sat Aug 14 09:05:24 2004,

DYK370GP,..........,3,No,,Sat Aug 14 09:05:30 2004,

LGW487GP,..........,1,Yes,Goldy Luck,Sat Aug 14 09:05:36 2004,

KPR835GP,..........,3,No,,Sat Aug 14 09:05:38 2004,All images are kept!

All LPR data is downloaded when required or, saved each day allowing review of cars seen

Configuration

Possible to have multiple

cameras to cover the

front, rear and side of the car (for use when

cars are parked)

Database remotely updated

Multiple images are captured at different IR illuninations

Automatic Database search

(local)

Trigger when a plate seen

Average Speed Determination

Requirement: Requirement:

To provide Licence Plate Recognition To provide Licence Plate Recognition (LPR) technology to read a vehicle (LPR) technology to read a vehicle license plate at high speed (over 120 license plate at high speed (over 120 km/h). The license plate is then km/h). The license plate is then compared to a database containing compared to a database containing details from POINT A and POINT B, with details from POINT A and POINT B, with ALARM on vehicles that EXCEED a SET ALARM on vehicles that EXCEED a SET SPEED.SPEED.

MONITORING & REPORTING of all MONITORING & REPORTING of all vehicles passing the camera.vehicles passing the camera.

OVERHEAD VIEW

SEEWAYTYPICAL LAYOUT

SEEWAYSIDE VIEW

• Camera Res 1380x512 Per Field CCD size 2/3”• Image type B&W Capture rate/s 44 Per field• Typical jpg image [KB] 15-25 (night/day High C)• Typical size of plate [width in pixels] 150• Lens 34mm; Shutter speed About 1/2000• Illumination spectrum Visible (white)• Images captured 3-5 no. illumination levels 1• Field of view (width x height) 2.5M x 1.8M• Typical range camera to plate 31feet (10M)• Max no. images at top speed 3 (160 KMPH is 1M per field)

• Each camera will have a field of view of about 2.8M (horizontally) by 2.1M (vertically)

• The image size in full resolution is 1380 X 1024 pixels, which will yield plate sizes of 150 X 60 pixels at full resolution. Each camera is utilizing a single interlaced frame of 1380 X 512 pixels.

• Cameras have different capture modes• System enables different settings of cameras in order to

optimize recognition versus throughput.• Shutter speed adjustable, system can handle the speed

requirements (100MPH) at 1/2000.

CD DEMO

SeeLane Log: Captures all images for later review

CD DEMO

PLAYER: Fully functional LPR software using images captured at ASHBURTON

CD DEMOLOG:

All vehicles captured at Ashburton& New England Rd during Thursday & Friday

CD DEMO

PLAYER: Fully functional ASD software using canned images

CD DEMOVIOLATION STUDIO:

All vehicles captured at both points during Thursday & Friday

Data Analysis Data Analysis –– LPR success per dayLPR success per day

Remote Control Remote Control Controlling a ComputerControlling a Computer

The remote computer’s desktop is

displayed in a window on the local computer.

Multiple computers can be accessed

simultaneously.

The remote computer’s desktop is

displayed in a window on the local computer.

Multiple computers can be accessed

simultaneously.

>>

SCREEN AT ASHBURTON

SCREEN AT NEW ENGLAND RD

Multiple images are captured per vehicle

Multiple images are captured per vehicle

Multiple images are captured per vehicle

RESULTS FROM N3 DEMOTOTAL No of vehicles captured at both Ashburton and New England Rd

Thursday = 5083 Friday = 6057

TYPICAL IMAGES FOLLOW:TOTAL No of vehicles captured = 11 992

AVERAGE SPEED DETERMINATION: N3 OVER 8.65 KM

0

50

100

150

200

250

TIME

SPEE

D

AVG SPEED 124 132 118 120 112 138

Highest Speed 191 168 156 172 176 167

Lowest Speed 12 25 25 19 22 25

12AM - 6AM 6AM - 7AM 7AM - 8AM 8AM - 9AM 9AM - 10AM 10AM - 12PM

S1

020406080

100120140160180

SPEE

D

AVERAGE SPEED FROM 12AM TO 12PM ON THE N3

VEHICLE AVERAGE SPEED FROM 12AM TO 12PM ON THE N3

020406080

100120140160180

SPEED

NU

MB

ERS

RESULTS FROM N3 DEMOSTOLEN VEHICLE DATABASE:All vehicles detected by LPR (11 992) were compared by Tsohle Unicode to the current SAPS STOLEN VEHICLES database.

5% of the vehicles detected were listed (CAS No.). For the full results please see presentation from Tsohle Unicode.

CD DEMO

SeeCar Trap: Alarm on WANTED cars, with SIREN & AUDIO ALARM

Questions