Container Code Recognition (CCR)

Container Code Recognition (CCR)

The CCR (Container Code Recognition) system by Ability Intelligent is an AI-driven computer vision platform engineered for automated image analysis and precise container identification, enabling users to reduce manual labor and improve operational efficiency.

Using specialized cameras with bright lighting, the system automatically captures images of containers under varying lighting and weather conditions. With Optical Character Recognition (OCR) and strong computer learning, it reads the container codes and helps sort them by size

and type.

The system supports ISO 6346 container codes, allowing easy deployment in global logistics environments. Users benefit from integration with backend systems, gaining real-time tracking, anomaly alerts, and analytics for improved control. Edge computing enables fast processing,

minimizes bandwidth usage, and supports robust, scalable operations.

AI Recognition Items

Container Code Detection

The system automatically locates the container code area, reduces manual input, and ensures accurate downstream recognition.

Container OCR

Reads container identification code images and converts them into structured data, enabling users to achieve real-time character reading and faster data processing.

Multi-Country Code Recognition

Supports multiple international standards and formats, enabling seamless use across borders and languages.

Container Dimension Detection

 Automatically identifies container length, width, and height, helping users optimize transport and warehouse management.

Container Type Classification

Identifies standard dry containers, reefers, open-top containers, and more, so users can better manage diverse fleets.

 Abnormal Event Detection

Detects container damage, unauthorized movement, or improper stacking, providing real-time alerts to help users respond faster.

Edge AI Processing

Performs real-time inference on the camera side, enabling users to reduce server load and accelerate recognition speed.

 

 

Key Features

Container Code Recognition (CCR)
  • Container-Specific Architecture

    Designed specifically for container dimensions, standard codes, and stacking environments.

  • Flexible Deployment

    Empower your operations with support for both centralized and distributed architectures, delivering 
    adaptability for facilities of any scale and unlocking future growth.

  • High Stability

    Gain peace of mind with 24/7 reliability, ensuring your system operates seamlessly under any lighting, 
    weather, or high-speed conditions, so you can focus on what matters.

  • Real-Time Data Processing

    Accelerate performance with edge computing and structured data transmission, minimizing latency 
    and server load to keep your operations moving seamlessly.

  • Multi-System Integration

    Seamlessly integrates with WMS, TMS, ERP, and gate control systems.

  • Model Update & Continuous Learning

    Stay ahead with regularly updated AI models that effortlessly adapt to new container formats and 
    environmental changes. Rely on remote updates for long-term, stable, and high-performing operation
    — no interruptions required.

  • Security Monitoring

    Protect your assets with advanced abnormal container detection, instant damage alerts, and proactive 
    unauthorized access notifications, safeguarding your operations at every turn.

 

Application Fields

Port Management

Automatically recognizes containers entering and leaving the port, improving loading, unloading, and dispatch efficiency.

Logistics Parks

Enables automatic container registration and tracking, reducing manual operations and error rates.

Warehouse Centers

Identifies container sizes and types to assist with zoning and stacking management.

Transportation Tracking

Integrates with vehicle access control and GPS systems to provide complete container route tracking.

Security Monitoring

Provides real-time alerts for abnormal containers or unauthorized movements, 
enhancing facility security.