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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.

After the installation of this system the number of thefts decreased sharply. A sample actual record of an attempted theft is shown in the following animation.
 

 

 

 

 

 

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 also connected to a large outdoor display that shows the car number, the car type, the reason for arrest and the name of the driver. This display can be seen by the police officer down the road. All the officer needs to do is wait for the siren, then stop the car and verify the arrest details, as seen in the film clip below.

 

 

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.

 

You can also download a demo of the roadblock system (first download it to your disk, then unzip, the run the runme.bat file). This demo runs a simulation of SeeLane (same outputs as the SeeRoad system) and the SeeCarTrap Client application (which "listens" to the recognition messages) activates a "siren" when a wanted vehicle is detected.



 

 

 

 

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.

A sample violation is shown in the following photo. The frame, read from the film, includes the view of the car, the vehicle plate, and the violation information - which includes the date, location and speed, and is attached in the upper-right corner.

 

   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 entrance display provides traffic guidance by displaying one of the 3 options (left 'Guests' for guest parking, middle 'GO' for entrance, and right for 'Inquiries'). The display is controlled by the management software which has multiple authorization lists. The security guards and officers can also change the permit lists on-line. The system keeps records of the traffic events. It also controls the access-control to internal 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.
 

 

The University traffic system was tested by the customer and achieved 99% in recognition in day and night operation. The system is capable to cope with the high traffic volume and operates smoothly and within the required functions. The system automated most of the security checks, and the security officers handle only the few cars that are not allowed to enter and are directed by the red (right-arrow) light for further inquiry.

The following animation shows a sample of the entrance operation. The taxi (in this example) approaches the gate and is quickly identified by the LPR system. It is classified as a taxi with an entry permit. The traffic management system then indicates a green up-arrow - which means enter and follow to the next gate forward. It also opens the gate automatically and within a split of the second in order to allow a smooth traffic flow.

 

 

 

 

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Last Update: Mar-31-2005