Automatic Number Plate Recognition (ANPR)

Automatic Number Plate Recognition (ANPR)

Ability Intelligent’s ANPR system leverages AI and computer vision to accurately identify license plates across different lighting, weather, and speed conditions. With multi-format recognition, vehicle type and colour analysis, lane and speed detection, and edge-based real-time processing, it reduces server load and latency. The system also supports whitelist/blacklist matching and event integration, enhancing parking operations, traffic management, violation detection, and urban security for smart city deployment.

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AI Recognition Items

License Plate Detection

Automatically locates the position of the license plate to ensure accurate subsequent recognition.

Optical Character Recognition (OCR) for License Plates

Converts license plate images into structured data, enabling real-time character reading.

Multi-country Plate Recognition

Supports license plate characters and formats from multiple countries, suitable for cross-border and multilingual environments.

Front & Rear Plate Detection

Simultaneously recognizes front and rear license plates, improving completeness and reliability.

Whitelist / Blacklist Verification

Automatically determines authorized or flagged vehicles, enhancing access control and security.

Edge AI Processing

Performs real-time processing on the camera side, reducing server load and improving recognition speed. Expandable Recognition Functions for Advanced Integration.

Speed Estimation

Calculates vehicle speed, supporting traffic law enforcement and flow monitoring.

Lane & Multi-vehicle Tracking

Simultaneously tracks multiple vehicles across multiple lanes, avoiding duplicate recognition.

Vehicle Type Classification

Distinguishes between various vehicle types, including cars, trucks, motorcycles, and others, providing detailed information on their characteristics.

Vehicle Color Recognition

Identifies the primary color of the vehicle for use in matching and statistical analysis.

Anomaly Detection / Event Triggering

Detects illegal parking, red-light violations, or unauthorized entry/exit, supporting real-time alerts.

 

Key Features

Automatic Number Plate Recognition (ANPR)

  • High-Speed Recognition

    Completes license plate recognition in 0.2–0.5 seconds, significantly improving processing efficiency, reducing wait times, and accelerating vehicle flow.

  • High Accuracy

    Achieves a recognition rate of over 95%, maintaining stable performance even at night or under harsh weather conditions, ensuring dependable results and enhanced security.

  • All-Scenario Adaptability

    Supports multi-country license plates, various vehicle types, front-and-rear plate detection, and cross-lane recognition, providing versatile solutions for diverse environments and applications.

  • Smart Access Control

    Built-in whitelist/blacklist verification, supporting event triggering, and lane management, improves access control, prevents unauthorized entry, and enhances operational efficiency.

  • Continuous Evolution

    AI deep learning models are regularly updated, with support for remote maintenance and flexible architecture deployment, enabling continuous 
    improvement and reducing maintenance costs.

  • Flexible Integration

    AIoT applications can be expanded to include RFID, LED displays, barrier gates, and other peripherals that interact with central management platforms for scalable operations and centralized control, clarifying that the integration involves both hardware and data management systems.

 

System Architecture

Centralized Architecture

Field Side

Cameras capture images, which are then transmitted to a central server or a data center.

( NETWORK )

Server Side

A powerful computer system that collects and manages data—where artificial intelligence (AI)-based license plate recognition and data processing is performed.

( API or NETWORK )
Workstation
Cloud

Distributed / Edge Architecture

Field Side

AI recognition is performed at the camera side (using edge devices, which are cameras or sensors with built-in computing capabilities).

( NETWORK )

Server Side

Only the structured recognition results are sent to the central platform. Reduces bandwidth usage and improves real-time performance.

( API or NETWORK ) 
Workstation
Cloud

 

Core Functions

  • Supports multi-country license plate recognition (including various character formats).
  • Simultaneous Front and Rear Plate Detection.
  • Vehicle Type Classification and Body Color Recognition.
  • High-Speed Vehicle Recognition (supports speeds above 200 km/h).
  • Stable Operation in Low-Light, Backlight, and Rain/Fog Conditions.
  • Multi-Lane Tracking and Cross-Lane Recognition Capability.
  • High-Speed Recognition Performance (0.2–0.5 seconds).
  • Real-Time Speed Measurement and Entry/Exit Time Recording.
  • Whitelist / Blacklist Management Mechanism.
  • Integration with RFID, LED Displays, Alarms, and Other Devices.
  • API / ONVIF / MQTT Protocol Support for third-party platform integration.
  • Edge Computing to reduce server load and bandwidth requirements.
  • Centralized Platform for Unified Management and Remote Updates/Maintenance.
  • Features flexible system architecture, supporting both centralized and distributed deployments.
  • Provides traffic flow statistics and data analysis to support operations and traffic management decisions.

Application Fields

Parking Lot Management

Parking management automates entry, payment, and whitelist/blacklist controls via license plate recognition to improve efficiency and the user experience.

Smart Traffic Signals

Smart traffic signals use real-time vehicle recognition to optimize signal timing, improve flow, and reduce congestion.

Violation Enforcement

Violation enforcement automatically detects speeding, red-light running, and illegal parking, delivering accurate evidence for enforcement units.

Access Control for Campuses and Enterprises

Access control uses license plate recognition with gate systems to automate vehicle entry and exit, strengthening security for campuses and enterprises.

Urban Security and Surveillance

Urban security integrates with city platforms to enable traffic monitoring, incident alerts, and vehicle tracking, enhancing public safety.

Highways and Toll Stations

Highways and toll stations support high-speed vehicle recognition and automated tolling, reducing manual work and improving traffic flow.

Logistics and Transportation Management

Logistics and transport management track vehicle movements and routes, improving fleet visibility, dispatch efficiency, and operational safety.