The slow down and speed up on a toll road is determined in how the quickly a car is processed for the correct payment. Combination of CCTV video analytics can automate and protect revenues.
London, UK: Securicorp Components has brought video analytics to the market based on industry need and over the years, especially with IP systems, there have been some wider applications. For instance, the POS (point of sale) video analytic was applied to a Toll Road in the west of the country. The testing has been successful and the roll out will continue once the test is completed. In retail the application is not so built around saving any particular time in speeding up the transaction but as a loss prevention measure.
Toll systems are generally created in specific infrastructure which reduces congestion through the building of an additional road or, more likely, a bridge which connects land. Drivers, whether private or commercial, need to use these to roads to save time through reduced congestion and fuel savings. In turn the toll road operator needs to protect a rate of return on the investment by ensuring the right charges are collected from the appropriate vehicle. In the case of rush hour traffic there is a need for the toll booth service person to work quickly and effectively to ensure that payment is collected. Also, when errors are made, whether it be the driver or the booth service person, it has to be recorded and assessed that it simply a one off error and not a persistent violation.
Toll collecting systems can be configured to capture the CCTV image of the vehicle, number plate and the receipt of the amount paid by the driver. So, much like a retail system, all records can be collated to make random checks on receipts. The CCTV system in place at most Toll booths do record the cars and vehicles passing through so it is possible to upgrade this system so that images are processed for analysis. As Toll roads are operated by private operators it is not possible to link ANPR to the DVLA to then be able to get an official class of vehicle. With so many different shapes and types of vehicles it is becoming to harder to distinguish between a cross over and an SUV as well as the different van permutations available. It is perhaps better then for Toll operators to collect and analyse their own data to protect their revenues. The use and management of the system will have to evolve based on the external and internal data created and acquired.