Automatic Number Plate Recognition (ANPR )

Automatic Number Plate Recognition (ANPR )

Ability Intelligent’s Automatic Number Plate Recognition (ANPR/ALPR) system combines computer vision and AI algorithms to accurately capture and recognize license plates under various lighting, weather, and vehicle speed conditions. Using dedicated cameras, infrared illumination, and high-resolution lenses together with deep learning models for image preprocessing and character segmentation, the system rapidly converts license plate images into structured data. Our system supports multiple international license plate formats and offers features such as simultaneous detection of front and rear plates, vehicle type, and colour classification, speed monitoring, lane tracking, and recognition time stamping.

Core computations are performed in real time at the edge, effectively reducing server load and bandwidth requirements while ensuring high performance and low latency. In addition, the system includes a built-in whitelist/blacklist matching mechanism, integrates event-triggered responses and real-time data transmission, and connects to a centralized platform for unified management, improving both operational efficiency and security levels. Ability Intelligent’s ANPR system is widely applied in parking facility operations, smart traffic signal coordination, violation detection, and urban security.

We are committed to applying AI technologies to real-world scenarios, transforming license plate recognition from a simple image-capturing tool into an intelligent sensing module that delivers multidimensional vehicle data, serving as a key infrastructure for smart cities and intelligent transportation systems.

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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 lot management enhances operations by using automatic license plate recognition for access control, payment processing, and whitelist/blacklist management.

Smart Traffic Signals

Smart traffic signals perform real-time vehicle recognition to support traffic signal control and flow analysis, optimizing road traffic efficiency.

Violation Enforcement

Violation enforcement automatically detects speeding, red-light violations, or illegal parking, providing accurate images and recognition data to enforcement authorities.

Access Control for Campuses and Enterprises

Access control for campuses and enterprises combines license plate recognition with barrier gate control to automatically manage the entry and exit of employees and visitors, enhancing security.

Urban Security and Surveillance

Urban security and surveillance integrate with smart city platforms to support traffic monitoring, incident alerts, and vehicle tracking, improving urban public safety.

Highways and Toll Stations

Highways and toll stations support high-speed vehicle recognition and electronic toll collection, enabling automated billing and access control while reducing manual intervention.

Logistics and Transportation Management

Logistics and transportation management tracks vehicle entry, exit, and transportation routes, helping logistics companies manage fleets, improve dispatch efficiency, and enhance safety.