Smart Traffic Management System

• Significantly reduce daily congestion by optimizing traffic flow and prioritizing vehicles based on real-time demand.

• Minimize pollution across the city by eliminating inefficient stop-and-go driving.

This will also create an ideal opportunity to install monitoring devices that can gather much more detailed traffic and journey data than we currently have. Each set of traffic lights will be equipped with communication technology to transmit (anonymous) vehicle data, either from ANPR cameras, Bluetooth sensors, or CCTV feeds (where applicable).

ANPR (Automatic Number Plate Recognition) software uses Optical Character Recognition (OCR) technology to automatically read vehicle number plates. It enables the reliable identification of vehicles with issues (e.g., stolen cars, expired licenses, unpaid fines), notifying authorities when they pass through checkpoints, allowing for immediate actions such as vehicle seizure, passenger detainment, and other necessary measures.

As vehicles pass by the camera, ANPR captures a photo of the number plate and records it in a database, along with the date, time, and camera details, enabling numerous searches and more efficient traffic management.

These systems often use InfraRed (IR) lighting, allowing the camera to capture images at any time of day. ANPR technology is often region-specific due to variations in number plates from one area to another.

Traffic management systems utilize ANPR devices to monitor vehicle movement and traffic flow across the network. This data helps identify problem areas and supports incident management decisions. Photos of the vehicle and driver can be stored and retrieved as evidence for disputes or criminal investigations.

Features

• Recognizes license plate characters with three levels of criticality: Low, Medium, and High, displayed in different colors on the surveillance screen to alert the user.  

• Has its own database to store recognized license plates along with photos, date, and time.  

• Allows adding additional information to the database related to a recognized license plate, such as: company cars, employee vehicles, or authorized entry vehicles.  

• The database can be integrated with external systems to identify possible issues, such as: stolen vehicles, vehicles with restrictions, or drivers with expired licenses.  

• Offers the option to save images of recognized license plates in an external folder instead of using the database.  

• Supports both IP cameras and converted analog cameras with video servers.  

• Compatible with Ethernet I/O modules, enabling specific functions such as gate opening/closing.  

• Provides a visual and audible pop-up on the surveillance screen when an event is detected, for example, a stolen car.  

• Features unlimited capacity for database recording.  

• Can recognize license plates at any speed, limited only by camera capabilities (shutter speed), with no need for special or additional licenses.  

• Automatically distributes received images across existing ANPR servers.  

• Includes a Failover feature, ensuring that if one server fails, another will take over automatically without human intervention.  

• Enables centralized license plate identification, relying solely on communication between cameras and servers.  

• Captures images of incoming vehicles (front) and outgoing vehicles (rear), based on user preference.  

• Includes a mask system for license plate lists, allowing event generation for plates matching specific mask configurations. It also lets the user select how many frames per second to capture during image processing.  

• Captures images in MJPEG, MPEG-4, or H.264 formats for license plate recognition. Supports importing and exporting license plate records with vehicle owner information.  

• Allows bulk exclusion of license plates and removal of outdated ANPR records, with the option to set retention timeframes in the database.  

• Offers scheduling for activating ANPR configurations.  

• Permits associating peripheral or secondary cameras to the main camera (which performs OCR reading) for capturing side and rear images of vehicles.  

• Allows searching by the originality code of images generated in reports.  

• Supports simple searches using full license plate information, or by date, camera, and advanced filters.  

• Enables saving or generating reports via advanced search options.  

• Displays video of captured license plates on the surveillance client.  

• Allows zooming in and out of license plate images via software controls.  

• Facilitates tracking of vehicles followed by suspicious vehicles.  

•  Prints images with an originality code for authenticity verification.  

• Generates documents relating to vehicles, including front and secondary images (if available), along with the originality code, enabling future searches and prints for proof of authenticity.  

• Displays unrecognized license plates triggered during processing.  

• Provides a reliability graph that shows character recognition accuracy.  

• Offers graphs of correct readings based on the reliability graph.