Container Number Recognition SDK

DTK CNR SDK

Current Version: 1.0.1
Release Date: 12 Jan 2026

DTK CNR SDK (Container Number Recognition) is a software development kit designed for software developers who want to integrate container codes recognition into their software products. DTK Container Number Recognition engine detects and recognizes ISO 6346 container codes from various video sources (IP cameras, video files, video capture devices) and still images (JPEG, PNG, BMP).

It is compatible with standard IP camera protocols and encodings (such as MJPEG/HTTP, H.264/RTSP) and custom video sources, providing decoded (RAW) frame images to the recognition engine. The SDK can be used with the most popular programming languages like C++, C#, VB.Net, Java, Python, Delphi, etc. The documentation, help files, and sample applications (C++, C#, Java, Python) are included in the SDK.

NVIDIA GPU / CUDA Acceleration Support
DTK CNR SDK includes optional support for NVIDIA GPU acceleration to significantly boost inference performance for high-throughput or real-time video processing workloads.

  • For maximum performance, DTK CNR SDK uses NVIDIA TensorRT to optimize and run neural network inference on GPUs.
  • Supported on systems with NVIDIA GPUs that support CUDA with a minimum Compute Capability of 7.5
  • Requires installation of the appropriate CUDA Toolkit, TensortRT runtimes and NVIDIA drivers compatible with your GPU.
  • On supported GPUs, the SDK uses GPU execution to accelerate neural network inference several times compared to CPU-only performance

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Online Demo

Main Advantages

  • 96% recognition rate (including low quality and damaged numbers)
  • 20-80 ms processing of a single frame/image
  • Supports non-standard numbers printed in various fonts
  • Provides coordinates and confidence of a recognized container number
  • Provides coordinates and confidence of a individual characters of a container number
  • Captures video from IP cameras, video files, video capture devices

The following images can be successfully recognized by our Container Number Recognition engine

Supported Operating Systems

Windows 64-bit (7/8/10/11/Server 2008/2012/2016/2019/2022)
Linux (64bit, armhf, arm64)

window and linux icons

Downloads

To download the full or trial version of the software, please go to the Downloads page.