Shipping Container OCR

Overview

Adapt AI’s Shipping Container OCR leverages advanced artificial intelligence to decode shipping container codes in real-time, even under the most challenging conditions. Whether it’s a blurry image, low-light environment, or a rusted container, our solution ensures high accuracy and reliability, making it an essential tool for logistics, shipping, and port management.

Key Features

Unmatched Accuracy

Accurately decodes container codes in diverse scenarios, including blurry, low-resolution, dark, over-exposed, or angled images, as well as containers with rust or shadow marks.

Real-Time Processing

Processes live camera feeds via RTSP, video files, or static images with rapid inference speeds, ensuring seamless integration into operational workflows.

Flexible Deployment

Deploy on-premise using Docker on x86 devices (no GPU required) or in the cloud, with support for JSON, webhooks, and CSV outputs.

Developer-Friendly Integration

Includes an SDK for easy integration, supporting up to 3 MB images in the cloud (8 calls/sec) and fast on-premise processing.

Output Details

Our Shipping Container OCR provides comprehensive results, including:

Owner & Product Group Code: 4-letter code (e.g., ABCD).
Registration Number: 6-digit serial number (e.g., 123456).
Check Number: 1-digit checksum (e.g., 7).
Confidence Score: A percentage indicating the engine’s confidence in the accuracy of the reading.

Use Cases

Port Automation: Automate container identification and tracking at ports for faster processing and reduced errors.
Logistics Management: Enhance inventory management by integrating container data into supply chain systems.
Security & Compliance: Ensure accurate container verification for security checks and regulatory compliance.