11th Jan, 2011: KritiKal Solutions Pvt. Ltd., a technology design house, specializing in outsourced product design and R&D, has designed a Container Number OCR system which automatically identifies, records and verifies the Container ID number for both fixed and moving scenarios. The system facilitates an effective management and operations at gates, yards, and loading and unloading zones of modern ports and terminals. The system is designed for efficient container loading and unloading ensuring accurate container movement.
The Container Number OCR system is based on KritiKal’s proprietary OCR Engine Platform. The underlying OCR engine has been tuned to suit the requirements of Container Number OCR system for translating images of printed text (here container ids captured using camera) into machine-readable form with a standard encoding scheme with close to 100% accuracy.
The Container Number OCR system can be easily integrated with KritiKal’s proprietary Automatic License Plate Reading System (KLiPR) for integrated solutions for a port/ container terminal. The integrated system is suited for capturing, recognition and storing the Container No/ IDs along with License plate of the vehicles. Along with effective operation for ports, the integrated system provides maximum access control and security management.
Features and benefit of Container Number OCR System
Increases efficiency and throughput at the container terminal gates and quay cranes by processing images at less than 1 second per image.
Facilitates automation of terminal, depot and/or vessel operations.
Improves terminal entry and exit security, by providing 24-hour non-stop container number recognition.
Reduces operating costs by facilitating real-time global tracking and tracing of containers.
Enhances and facilitates terminal's operations through consistent performance.
Container ID No, ISO codes and chassis No. reading on both moving and stationary containers.
Automatic real-time recognition, recording and verification of container ID numbers.
Intelligent character recognition regardless of image source quality - image source may be partially distorted by rust, mud, peeling paint, fading colors and/or uneven lighting conditions.
Applications
Toll collection points control for container logistics
Cargo security at terminals
Terminal gates control
Container terminal logistics
Container inventory management at yards
Container damage inspection