Market Leader in ANPR: Automatic Number Plate Recognition Solutions

With over 18 years in security and 13 in LPR software development, FF Group has been a pioneer in Edge-based LPR technology since 2014.
Our portfolio now features advanced Automatic License Plate Recognition technologies for Edge and server-based platforms, empowered by proprietary AI.

Our ANPR Products

The latest version of the world's fastest on-camera LPR & Vehicle Recognition software for AXIS cameras. Now powered by proprietary AI tech.
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World's fastest on-camera LPR & Vehicle Recognition software for AXIS cameras.
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Native LPR & Vehicle Recognition plugin for Milestone.
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ANPR that works

Works on Blurry Images
Works When Plate is at an Angle
Works in Dark Environment
Works When Vehicle is Driving Fast
Works on Low-Res Images
Works on Plates with Icons
Works with Multiple Vehicles
Works on Plates with 2 Rows

ANPR Application

Automatic Number Plate Recognition (ANPR) is the key technology for identifying vehicle license plates, enabling data capture for further processing, storage, or matching in various applications. Widely recognized for its use in policing and speed monitoring on UK motorways, ANPR also enhances public safety and streamlines our engagement with transportation and vehicle infrastructure.

Journey Time Analysis

Traffic Management

Weighbridges

Toll Management

Highway Monitoring

Bus Lane Enforcement

Intelligent Transport Systems

Gated Communities

Key ANPR Features

License Plate 
Recognition
Vehicle brand and modelrecognition
Vehicle type
recognition
API: JSON, TCP-IP, ONVIF, VAPIX, UTMC
up to 240 m (day light)
up to 40 m (night)
Out of detected
vehicles
Detection on high-speed:
up to 160 km/h
800 Euro MSIP

What is ANPR

Automated Number Plate Recognition (ANPR), also known as Automated License Plate Recognition (ALPR), leverages optical character recognition (OCR) alongside advanced image or video processing techniques to capture and analyze vehicle license plates. This technology is pivotal in different sectors including law enforcement, toll operations, parking management, and traffic surveillance.

At its core, ANPR systems comprise high-precision cameras or designated ANPR imaging devices, alongside sophisticated software that deciphers the images, and a database for correlating captured plate data with existing records. This process seamlessly translates images of license plates into text data, facilitating vehicle identification and the retrieval of associated vehicle registration details. The ANPR software is versatile, operating on cameras, within video management systems (VMS), or as part of specialized video analytics platforms.

Requirements for ANPR cameras

ANPR cameras are uniquely engineered to capture license plates with the utmost clarity. Key attributes include:
High-Resolution Imaging: To ensure precise character recognition, ANPR cameras boast high-resolution capabilities for capturing detailed license plate images.
Infrared Illumination: These cameras often employ infrared illumination to guarantee legible license plate captures in dim or nighttime conditions, enhancing character contrast.
Wide Dynamic Range (WDR): With WDR, ANPR cameras effectively manage varied lighting, maintaining plate visibility under bright sunlight or in shadowed areas.
Rapid Shutter Speed: Essential for minimizing blur in moving vehicles, the fast shutter speeds of ANPR cameras ensure sharp images.
Optimized Lenses: These cameras utilize lenses specifically designed for clear license plate capture from diverse distances and angles.
Onboard Image Processing: Advanced ANPR cameras might include integrated image processing for immediate license plate detection and reading.
These features collectively ensure that ANPR cameras deliver precise and reliable license plate captures, vital for effective automated plate recognition.

FAQ

What is ANPR?

Automated Number Plate Recognition (ANPR), also known as Automated License Plate Recognition (ALPR), leverages optical character recognition (OCR) alongside advanced image or video processing techniques to capture and analyze vehicle license plates.

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