Container OCR

Streamline container movement, reduce idle times and boost security.

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Accelerate cargo flow and eliminate errors

Container ocr

Container Code Recognition simplifies, expedites, and automates container tracking and management. Thus, making it error-free. It accurately captures and registers container codes along with the time and data. It helps manage stacked containers. It makes entry/exit faster and contributes to the safety of the depot by denying unauthorized entry to vehicles. This reinforces Port security configuration.

Our holistic view to challenges and features

Challenges

Inaccurate Code Readings

Inaccurate Code Readings

Manual processes often result in missed or incorrect container codes. This leads to delays and errors in the Container Tracking System.

Lack of Adaptability

Lack of Adaptability

Standard systems struggle with varied container sizes and orientations. It requires manual intervention. This limits scalability in Smart Container Management environments.

Operational Delays

Operational Delays

Slow identification and registration processes create bottlenecks in cargo movement by undermining the potential of container terminal automation.

Unreliable Barcode Scanning

Unreliable Barcode Scanning

Damaged surfaces, poor lighting and movement reduce scanning accuracy. This is a challenge solved with OCR-driven Container Automation.

Features

99%+ OCR Accuracy

99%+ OCR Accuracy

AI OCR for Logistics ensures precise ISO code recognition by reducing human error and increasing reliability.

Multi-Angle Code Detection

Multi-Angle Code Detection

Seamlessly reads horizontal and vertical text. It enhances Container Identification performance across container types.

Real-Time Processing

Real-Time Processing

High-speed image and video analysis allows scanning of even moving containers by ensuring optimized Container Tracking System operations.

Robust Barcode Recognition

Robust Barcode Recognition

Reliable barcode reading in low-light and high-motion conditions. These ensure uninterrupted cargo flow and better inventory control.

Manual container identification processes can lead to up to 30% errors. OCR reduces this to less than 1%.

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Who benefits from Container OCR?

Container OCR is beneficial for a wide range of stakeholders within the global supply chain as it transforms how goods are handled by them.

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  • Shipping & Logistics Companies
  • Ports & Terminals
  • Freight Forwarders
  • Government Agencies

Building and deploying process 

Building and deploying process - Container OCR
Camera placement

Camera placement

High-resolution cameras are strategically placed to capture container codes across a wide variety of entry/exit scenarios.

Data acquisition & preparation

Data acquisition & preparation

A diverse data set of container images is gathered and labeled to train models capable of adapting to real world variation.

Model development & training

Model development & training

Using deep learning techniques like CNN. It is a model that is trained and optimized for high precision in Container Code Recognition.

Integration & deployment

Integration & deployment

The system is deployed and integrated with existing terminal systems. That is for real-time inference and process acceleration.

Insights on innovation

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