The Digifort LPR can be used on highways, streets, parking lots, shopping malls, businesses, or anywhere that requires identification of the automobile license plate. It is an intelligent module that, using Optical Character Recognition (OCR) features for automatic character recognition, identifies vehicle license plates and stores them in a database for immediate or future searches, allowing them to be associated with any necessary event, Generate alarms or automate the environment.
Possibility to determine which vehicles are authorized or not to enter an environment, open gates and gates automatically, applying traffic restrictions (stolen car, overdue IPVA, unpaid fines, among others), issuing alerts, enabling vehicle seizure, surrender of the vehicles. Passengers or any other measure deemed necessary.
LPR is one of the main modules of Digifort software. It is used for automatic reading and recognition of license plates of vehicles. When a vehicle comes into the camera’s field of view, the software takes the picture that is used for image analysis including character recognition, then puts it into the database along with the date, time and location. If there is other database with license numbers, it can cooperate with the Digifort software.
Using different rules, the administrator can apply multiple filters, to search for:
- stolen cars,
- vehicles that do not have permission to travel on a specific route,
- vehicles do not have valid MOT or other certificates,
- uninsured vehicles,
- cars with unpaid parking fees and fines.
- Virtual sensor. Virtual sensor is based on video motion detection. The moving car is detected as a moving object in the image, captured in a suitable way. This method eliminates a need to use additional equipment, however it consumes a certain amount of the server’s resources.
- Physical sensor. In this method, the moving vehicle is detected by infrared sensor(s), inductive loop or other devices capable of detecting moving vehicles. The sensors cooperate with the software through I/O modules. After detecting movement of a vehicle, the information is forwarded to the software, which results in capturing the image of the vehicle and starting the procedure of license plate recognition. This approach saves computational power of the server.
