MANGO-POINTRCentralized ANPR and Mobility Analytics Platform
Transform License Plate Data into Urban Mobility Intelligence
MANGO-POINTR is a next-generation ANPR software platform that centrally collects and processes vehicle passage data obtained from license plate recognition systems and transforms it into meaningful information for urban mobility management.
It consolidates license plate, vehicle type, time, location, and direction information from license plate recognition cameras at different points across the city in a single center, making vehicle passages, route movements, junction direction preferences, travel times, and average speeds available for analysis.
Centralized ANPR and Mobility Analytics Platform
MANGO-POINTR combines data from license plate recognition systems of different brands and models within a common data structure, creating an integrated, traceable, and analyzable vehicle movement infrastructure across the city.
The system does more than simply store raw passage records from license plate recognition cameras; it correlates records from different camera locations with location, direction, time, and vehicle information, analyzes vehicle movements within the city, and transfers the results to the MANGO traffic management infrastructure.
From vehicle passage to citywide analysis, step by step
Ecosystem Connection
MANGO-POINTR analytics capabilities
MANGO-POINTR transforms license plate passage data into vehicle movement, route, and priority passage information.
Key Features
Why MANGO-POINTR?
A centralized data source that elevates license plate recognition from vehicle detection to an urban mobility decision-support layer.
Advantages
By centralizing ANPR data, MANGO-POINTR provides a measurable, continuous data source for traffic management and urban mobility analytics.
Frequently Asked Questions
What does MANGO-POINTR do? +
MANGO-POINTR centrally collects and processes vehicle passage data from license plate recognition systems and transforms it into information that can be used in traffic management and urban mobility analytics.
Does MANGO-POINTR only store license plate records? +
No. The system can also produce analyses such as vehicle movements, direction preferences, routes, travel times, average speeds, turning counts, and vehicle type distributions.
How is junction direction analysis performed? +
Camera locations and viewing directions are associated with junction approaches. Passage records of the same vehicle at different cameras are matched to determine the vehicle’s arrival and departure directions.
Can the system count turning movements? +
Yes. License plate records at junction entries and exits can be matched to calculate right-turn, left-turn, and through movement counts.
How is travel time calculated? +
The passage times of the same vehicle at two different ANPR points are compared. The time difference between the two passages constitutes the travel time.
How is average speed calculated? +
Average speed is calculated by dividing the known distance between two camera points by the vehicle’s travel time.
Can analyses be performed by vehicle type? +
Yes. Routes and junction directions used by passenger cars, buses, trucks, motorcycles, and other vehicle classes can be analyzed separately.
What is a whitelist? +
A whitelist is a list in which the license plates of public transport, emergency, public service, or authorized vehicles are predefined in the system.
How are priority vehicles detected? +
The license plate read by the camera is compared with the whitelist. When a match is found, the vehicle’s location and direction can be transferred to the MANGO platform.
Does MANGO-POINTR directly change traffic signals? +
MANGO-POINTR generates priority vehicle and traffic movement information. Signalization decisions and field implementation are carried out through MANGO, CENTRIS, and the junction control system.
Can MANGO-POINTR be used in urban security systems? +
Yes. It can support urban security infrastructures through functions such as centralized license plate records, vehicle passage queries, and monitoring movements across different camera points.
What is the main differentiator of MANGO-POINTR? +
The system transforms license plate recognition from a technology that merely detects vehicles into a centralized data source for urban mobility, traffic analysis, and priority passage applications.