Automated Container Recognition for Logistics and Security

The Optical Character Recognition (OCR) System is a cutting-edge solution designed to capture, read, and recognize alphanumeric characters from images in real time. By leveraging advanced imaging technology and machine learning algorithms, the system automatically identifies and records container numbers with high accuracy.

This technology is widely deployed in ports, border checkpoints, warehouses, and logistics hubs, where efficiency, accuracy, and security are critical.

  • Recognition of the ISO International Standard 6346
  • Recognition of Additional character next to the ISO code
  • Recognition of horizontal IDs
  • Recognition of vertical IDs
  • Recognition of 2 lines IDs
  • Reading from memory, .bmp and .jpg file
  • Provides reliability of each character
  • Efficiency – Eliminates manual data entry errors and speeds up cargo/vehicle processing.
  • Fast Processing Time – Fast processing time which is 300ms for Container ID recognition.
  • Security – Provides an automated audit trail, ensuring accurate record-keeping and improved accountability.
  • Cost Savings – Reduces reliance on manual inspections and administrative overhead.
  • Scalability – Suitable for single-gate facilities or large-scale logistics hubs with multiple checkpoints.
  • Seaports & Container Terminals
  • Border Security
  • Warehousing & Logistics Centers
  • Critical Infrastructure & Facilities
Description
Recognition Rate
Maximum Numbers of Cameras
Vehicle Maximum Speed
Supported Protocols
Supported Cameras

Other Video Sources
Operative System
Database
Third Party Integration
Specification
98% depending on the acquisition quality and country of plate.
Unlimited, depending on the PC or Server
250 km/h using the adequate camera and lighting
MJPEG, JPEG, H264, AVI, RTSP, Gige Vision, IDS Imaging, DirectShow, Point Grey
AVT, Axis, Vivotek, IndigoVision, Bosch, Avigilon, HikVision, Huawei, Dahua, Messoa, IDS-IMAGING, PointGrey, Basler, JAI, JVC, Mobotix, Pelco, Sony, etc. (specific models of each brand).
Avi Files, Jpeg, Bmp Files
Windows 7, Windows Server 2012 R2, Windows 8, Windows 10 all 64 bits
MS SQL Server Express (Standard and Enterprise versions supported, but not included)
XML messages via Socket or JSON SQL Server database access