Redflex's Point-to-Point solution provides speed enforcement and statistical information for vehicles traveling from one point to another. The system works by knowing the distance between the two points and the time it would take to travel that distance legally.
Vehicle details (including image and time) are recorded at each point, and are later correlated at a central server to determine the average vehicle speed.
Incident files are created for both local and point-to-point speeding vehicles. Optical character recognition (OCR) is used to automate the vehicle correlation process. The central server utilizes a relational database to store summary information, from which statistical information is extracted.
Redflex point-to-point digitally photographs every vehicle as it crosses the first point-to-point station utilising either inductive or non-intrusive technologies. It uses a high-repetition industrial technology to ensure a sharp image of fast moving vehicles. A non-intrusive infrared flash is used to illuminate the vehicle and number plate when the ambient light is insufficient.
Monochrome cameras are typically employed as they are generally more sensitive than colour cameras, and infrared photography results in monochrome images anyway. There is one dedicated camera and flash per lane.