Rahkav: Vehicle’s Mileage Solution

“Rahkav” estimates the distance traveled by a vehicles using License Plate Recognition (LPR) cameras. This product uses error reduction algorithms and largely compensates for the error caused by the failure of 50% of the cameras in average. In addition to reducing crime, administering justice, reducing air pollution, and reducing accidents, Rahkav solution can also increase government revenues. The implementation of this product has numerous long-term and short-term effects. Rahkav has a patent granted by USPTO (US 10878694B2).
Rahkav solution is used in a variety of applications including:
– Vehicle Miles Traveled (VMT) tax
– Pay per Mile Auto Insurance
– Fleet management

Eqlima: Optimal Camera Placement

Finding the best places to install surveillance cameras such as license plate or face recognition cameras is a service that Eqlima provides. Eqlima optimizes location of the cameras by three criteria: utilizing minimum number of cameras, zero- error path and mileage calculations, full coverage for moving objects.
This service can be used for full coverage of an area when the cameras are utilized for moving objects tracking, including License Plate Recognition (LPR) cameras for monitoring or recording traffic violations, calculating a car traveled path or mileage, and Face Recognition Systems. Location optimization by Eqlima reduces the number of cameras needed to fully monitor the moving objects or calculate their path and mileage by an average of 50%, resulting in significant cost reduction. A very important point in this reduction of cameras by Eqlima is that this does not impose any additional errors on the calculations. If some errors would be accepted in the system, Eqlima is able to reduce the number of cameras needed for full coverage even less.
Eqlima is very flexible and can be combined with other criteria related to camera placement, including the observation of high-risk points, without affecting the calculations error.