Cuvis

The software for recording, processing, analyzing and exporting hyperspectral images.

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Software suite for hyperspectral camera s from Cubert
Touch-based GUI SDK (Python, C++, Matlab) Export options
  • Programming Language
    C (Wrappers available for C++, Python, Matlab)
  • Compatibility
    Fully binary upwards compatible between minor versions
  • Platforms
    Supports Windows and Linux
  • Data Export
    Customizable exporter, command line interface (CLI) for advanced users
  • Functions
    Real-time spectral analysis, low-level processing

  • Target Users
    Software developers and system integrators

  • Support
    Bug reporting and paid training available for customers
  • Special Features
    Optimized for OEM applications and custom adaptations

Ergonomic user experience

Get started quickly with the comprehensive CUVIS TOUCH user interface. It operates both locally or via remote connection. Create custom views or processing results by integrating your own algorithms or classifications. Seamlessly integrate your camera into your system with the powerful SDK.

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Immediate image classification

Get the best out of your hyperspectral data!

Do you have a challenging data set that you want to classify or quantify? Don’t want to waste months of implementation time only to realize that a different approach would have yielded better results?

With CUVIS, you can get your own classification up and running in just a few minutes.
Record your data, label it in perClass MIRA, extract the classifier automatically and deploy it to your live camera.

Gain full control over algorithms, operating parameters and cost matrices with perClass Toolbox.

CUVIS Export

Hyperspectral data can be saved or batch-exported to ENVI or TIFF files. The TIFF format can be tailored for use with simple viewers or specialized software like qGIS or Agisoft Metashape. You can apply custom algorithms or classifications to create custom views or generate calculation results.

Batch exporting also allows for reprocessing of the data with different references or processing modes.

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Cuvis software
Code Snippet For A Hyperspectral Camera From Cubert

CUVIS SDK

The Cubert SDK is ideal for seamlessly integrating our cameras into your established workflows. Developers with traditional coding skills can create customized applications using the extensive library of tools, originally developed in C.

The SDK supports image acquisition triggering, live image views, calibration, data processing in various modes, reprocessing of previously acquired images, and exporting.

The Cubert SDK is also available or in development for commonly used programming languages like C++, C#, Matlab, and Python, making it suitable for both industrial and scientific users.

Web applications can access the available functionalities via standard Simple Object Access Protocol (SOAP). This method is well-suited for measurement systems on local networks, systems mounted on autonomous vehicles, or systems that are remotely accessible via high-performance VPNs.