Particulars of LPR projects/works carried out successfully | |||||||||||||||||||||
![]() ![]() ![]() ![]() DEMOS LPR Demo of RSA Customised Plates. zip (3 MB) SPEED DETERMINATION DEMO (2 MB) ![]() ![]() ![]() Automated License Plate Recognition (ALPR) for Law Enforcement KZN gets high-tech speed cameras New speed monitoring system tested Reference Sites
![]() ![]() ![]() ![]() DEMOS LPR Demo of RSA Customised Plates. zip (3 MB) SPEED DETERMINATION DEMO (2 MB) ![]() ![]() ![]() Automated License Plate Recognition (ALPR) for Law Enforcement KZN gets high-tech speed cameras New speed monitoring system tested Reference Sites
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This system is
installed in the gates of a South African University. It is used for
gate control and theft prevention. The license plate of the entering
cars are recorded along with the driver face. This data is compared to
the information at the exit and the guard can see that the person at the
entrance to the University was different than the person driving the car
out. The system also provides statistics and data logging, as well as an
on-line surveillance of the gates.
The SeeCarTrap
system is based on SeeLane
recognition system and has special modifications for a roadside mobile
system. This system is used for catching cars in cases of warrant of
arrest, unpaid fines or taxes and stolen cars. It deals with a database
of up to 0.5 million entries. The stand-alone real-time system
automatically recognizes the car plate number then searches a database.
It sounds an alarm when a car has been detected in the 'black' list, and
displays the vehicle and arrest information contained in the record.
This revolutionary system simplifies the roadblock operation and thus
helps to increase selective enforcement.
The system is
portable and installed in minutes by the police officer. It is installed
in a battery powered lunch-box PC. It operates day and night on a
free-flowing traffic at average speeds of 10-80 KMH. The system contains
all the elements of a recognition system: hardware (frame grabber,
optional IO card, and a special camera/illumination unit optimized for
this application) and software (SeeRoad
application and a client application). The application includes a
special software trigger option which reduces the need to place a
detector on the road, making the system portable and easy to install. This system is
installed in a traffic police violations processing center in Pretoria,
South Africa (in conjunction with Labat Traffic Solutions using the
Startrap Intelligence violation data processing system). It is used to
automate the process of handling the fine processing (a fast turnaround
from film to fine). The application reads both the license plate off the
frame - together with violation information.
For more information on this installation - see SeeFilm. The system
performs both access-control, parking and traffic-flow management
functions. It provides solutions for a congested University entrance and
enforces an overall traffic policy in its gates and parking lots.
The system
consists of a cluster of LPR systems, a management software, and an
outdoor traffic light display unit. Each of the camera/illumination
units (SeeCarHead ) is installed in a anti-vandalism metal cover. The
LPR units are based on (SeeLane server application) which interfaces the
hardware and performs the recognition process. It sends recognition
messages to the client applications. Each of the client applications
perform traffic management decisions and connect via network to a
management software on a remote server.
This system is installed in the entrance to a new UK
office compound and provides automatic access to authorized cars. The
records of the entry and exit are recorded. The system automatically
opens the gate for vehicles that match the authorized list. A large
outdoor display greets the vehicles (as seen behind the gate).
This
system part of a toll road system in South Africa. The license plate is
read and used as a key to fetch the vehicle information from the toll
database. The information is compared to a swipe card which is used by
the driver. This integrated system reduces fraud and increases the toll
income.
The toll
system is based on a multi-lane (SeeLane)
system which reads and verifies the plate data and sends a message to
the toll control application. This application uses the recognition
information to obtain the vehicle data, which is matched to the swipe
card information. The results are displayed to the operator and also
sent to the control room for further processing of the frauds, and
long-term data logging.
This
system is installed in hundreds of border crossing lanes around the
border of a European Country, and performs automated monitoring of the
vehicles and the persons entering or exiting the Country.
The
system is installed in the entrances and exits of a parking lot. The
system automatically opens the gate for season parking (prepaid members)
and calculates the parking fee for visitors. The plate string is used as
a key to automatically calculate the parking fee based on the time
difference between exit and entry.
The
system is based on a multi-lane (SeeLane)
system which sends the recognition messages to the parking control
application. This application, developed and integrated by the local
Singapore Company, handles all the parking lot activities and keeps a
record (image and information) of all transactions. The
system is installed in the entrances of long-term airport parking lots.
The system records the plate number and associates it with the ticket
number. When the car exits the lot, the ticket number is linked to the
car number, thus verifying that the ticket is indeed the same as issued
while entering. This system reduces fraud and handles cases of missing
tickets, a common problem in airports.
The
system is based on a multi-lane (SeeLane)
system which runs as a background application and sends the recognition
messages to the airport parking control application. This application,
developed and integrated by a US parking Company, keeps a history of the
entries (image and information) and also controls the payment at the
cashier booth. ![]() |
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