We're exhibiting at EMBEDDED VISION SUMMIT 2025 | MAY 20-22 May, 2025 | Santa Clara, California, USA. Schedule meeting now!

Container OCR

Streamline container movement, reduce idle times and boost security.

OCR-banner

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%. 

Contact Us

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.

OCR-3
  • 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

Stay updated with the trending and most impactful tech insights. Check out the expert analyses, real-world applications, and forward-thinking ideas that shape the future of AI Computer Vision and innovation.

August 29, 2025 - 8 minutes to read

AI Vision in Chemical Mechanical Planarization (CMP) Quality Monitoring

Every chip in your phone, your laptop, or even in a satellite, begins as a plain slice of silicon. But before that slice can become the heart of advanced electronics, it has to go through a series of complex processes. One of the least understood, yet most critical of these, is called Chemical Mechanical Planarization, […]

Read More

Ruchir Kakkad

CEO & Co-founder

August 27, 2025 - 5 minutes to read

NVIDIA Jetson Thor

Powering the Next Era of Vision AI Artificial Intelligence has moved from labs and data centers into the real world. Today, cameras on highways are expected to analyze traffic, robots on factory floors make micro-second safety decisions, and drones survey farms with intelligence far beyond simple recording. The challenge? Edge devices have always been limited. […]

Read More

Ruchir Kakkad

CEO & Co-founder

August 25, 2025 - 9 minutes to read

How AI-Powered Photomask Inspection is Driving Defect-Free Semiconductors

The story of the semiconductor industry is the story of human ambition to make things smaller, faster, and more powerful. We take this progress for granted when we buy a smartphone with a faster processor or a laptop with improved battery life, but behind these leaps lies an unforgiving pursuit of perfection at scales smaller […]

Read More

Ruchir Kakkad

CEO & Co-founder