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New speed monitoring system tested

31 October 2006

The KwaZulu-Natal Road Traffic Inspectorate (RTI), and a group of companies led by Barry Fryer Dudley, of I-Cube, will test a new way of policing motorists this holiday.

In a three-month trial, starting in early November, they will use a distance-time system to determine a vehicle's average speed between two cameras, placed, in this instance, 13.8km apart.

Fryer Dudley explains the system measures the average speed of vehicles by using licence plate recognition (LPR) units installed at toll plazas or on bridges. Even if vehicles are travelling within the legal speed limit when they pass the two cameras, the system will be able to calculate whether they were speeding between the sites.

LPR is a non-intrusive, computerised method of capturing a licence plate and comparing it to a database of registration numbers. LPR systems consist of one or more cameras, in this case Internet Protocol units designed for high-speed LPR, connected to a PC running LPR software, proprietary to I-Cube, which controls the system, reads the images, analyses and identifies the plates.

This interfaces with a custom-developed average speed determination application and a database.

‘Huge advantage'

“The ability to interface into multiple data sources in real-time gives the LPR system a huge advantage over current techniques. The minimum requirement for LPR would be an image, the I-Cube software and a processing system to provide the results,” Fryer Dudley says.

RTI director Johan Schnell says similar systems are in wide use in Europe, especially Germany.

“The system is designed to ensure people who are hell-bent on speeding do not just adjust their behaviour at or near fixed-speed timing locations [speed traps],” he adds. Every vehicle travelling every road could effectively be measured this way, over every kilometre.

The system is, for now, only being tested between Pietermaritzburg and Durban. If successful, the system, which costs R1.5 million per deployment, could be rolled out to as many as 1 250 sites nationwide, Fryer Dudley states.

Schnell says the RTI will invest in the system if it meets the criteria of the department and the courts.

Although Schnell says the RTI is, for now, only interested in dissuading speeding, Fryer Dudley adds that police, as well as vehicle tracking companies, will have access to the data recorded and could use it to pull over stolen vehicles, or motorists found to have warrants or speeding fines outstanding. Using methodology akin to biometrics, the system can also identify cloned vehicles and unlicensed taxis.

[ Story by Leon Engelbrecht appeared on]

License plate reader (LPR) technology. 

We are proud to support our law enforcement agency partners,  helping law enforcement across SA and abroad," I-Cube LPR systems can read plates from all provinces and most foreign countries. The system works in real time to identify vehicles of interest allowing officers to prepare for safe and immediate interdiction. Both LPR systems capture key vehicle-related data, which can be analyzed for criminal intelligence, providing for both a white list and a black list management.

The system consists of advanced cameras and proprietary software that captures photographic images of license plates, translates the visual characters into numbers and letters, and then compares each plate to pre-loaded Hot Lists in order to identify vehicles of interest right on the spot. The technology also captures date and time stamps, as well as GPS coordinates, which can aid criminal intelligence efforts by placing a suspect at a scene, identifying possible witnesses and more.

Already deployed in over 70 local and 1000 of international sites the I-Cube systems are quickly gaining attention with the law enforcement community as they are credited with assisting in the resolution of thousands of vehicle-related crimes over the past 25 years. With seventy percent of criminal activity tied to a vehicle, quickly capturing and interpreting license plate data is critical to the law enforcement mission,


I-Cube Solutions would like to propose the following advanced license plate recognition solution to maximize your ROAD BLOCK .

Key areas are the linkage between the vehicle license plate, car colour, shape, type and the LIVE database of known suspect cars.

I-Cube Solutions has a number of LPR sites around SA, any of which you can use for Road Safety Week. 23-29 April 2007. A number of MOBILE LPR solutions available, if you would like to use these? 

Possibly you would like to use any of these sites with a ROAD BLOCK just after the cameras, where all drivers are captured on camera, those not wearing seat belts are then identified and the license plate noted.

These specific license plates are then either specifically pulled over by SAPS / METRO or possibly you would like to SMS the drivers who pass any of the sites to wear their seatbelts?

 One could E-Mail the drivers if we had the e-mail address or even print an image for them, along with any message you might wish to put out?

 Below is a typical proposal, if you would like to send these to any metro or SAPS who you wish us to work with?  


Please review the Presentation (PPT) or (PDF) and I look forward to discussing a suitable way forward in order to begin the operation.

The system design, list of equipment and possible cost of a typical solution can be found HERE





Barry T. FryerDudley

(MBA {IT}; MSc {Image Analysis}; BSc {Brewing}; BSc Hons {Waste Technology})

I-CUBE (I3 - Integrated, Intelligent, Imaging)

LICENSE PLATE RECOGNITION, FACIAL RECOGNITION and IMAGE ANALYSIS                                   Cell:  +27 (0) 82 562 8225

MADADENI                                                   PH +27 (0) 31 764-3077                                                                       

82 Kloof Falls Rd                                             Fax 0866539659        

Kloof,                                                              E-mail: infoAT I-Cube DOT co DOT za


Kwa-Zulu Natal,


South Africa    

 I-Cube.   All rights reserved.  Revised: January 05, 2008 .