Vimba - C, C++, Python APIs

Vimba 4.2 - The SDK for Allied Vision cameras

Vimba is our future-proof platform-independent SDK for all Allied Vision cameras with GigE Vision, USB3 Vision, IEEE 1394, and Camera Link interface. With Vimba, you can acquire images and control your Allied Vision camera instantly, but also program complex vision applications or connect to third-party libraries.


Vimba is Allied Vision's GenICam-based SDK with transport layers for all Allied Vision cameras with GigE Vision, USB3 Vision, IEEE 1394, and Camera Link interface.

GenICam is THE standard for plug & play handling of cameras and devices. GenICam APIs are independent of the operating system, camera interface, and camera sensor, so that you can always reuse your source code. As a member of the EMVA (European Machine Vision Association), Allied Vision actively contributes to the further development of GenICam.


Vimba runs on Windows, Linux, and Linux for ARM. You can port your source code from Windows to Linux or cross-compile from a Linux PC to an embedded system.

C, C++, .NET, and Python APIs

Vimba provides APIs for C, C++, .NET, and Python. For a quick start or protoptyping, we recommend the Python API. Users who want to develop a straightforward application love the simplicity of the C API or the .NET API.


Advanced users with high demands appreciate the C++ API, which is designed as a highly efficient and sophisticated API for advanced object-oriented programming including the STL (standard template library), shared pointers, and interface classes.


Vimba includes programming examples in C, C++, C#, and Python and an extensive user documentation. To get started, we recommend reading the Vimba Quickstart Guide, which is part of the Vimba installation.
More information about Vimba's architecture and APIs



Excellent connectivity

Vimba's GenICam-based transport layers (TLs) support Allied Vision cameras with GigE Vision, USB3 Vision, IEEE 1394, and Camera Link interface. Moreover, they automatically connect with third-party software, for example, MATLAB, OpenCV, Halcon, CVB, and many more.


Additionally, Vimba provides the Cognex Adapter for VisionPro (version 6.0 or later).

Learn how to get started with MATLAB:


Getting Started with MATLAB (video, 4 minutes)

Getting Started with MATLAB (PDF)


Learn how to get started with Cognex VisionPro:


Getting Started with Cognex VisionPro (video, 3 minutes)

Getting Started with Cognex VisionPro (PDF)



Learn how to get started with HALCON:


Getting Started with HALCON (PDF)


If you have questions on how to get started with other third-party software, we are happy to help!

Comprehensive suite

Vimba is a comprehensive software suite including drivers for best performance on Windows and the Vimba Driver Installer application.


With the Vimba Viewer application, you can instantly view images and explore camera features without programming. Additionally, you can save your camera settings and quickly use them with any Vimba API.


With Vimba's Image Transform Library, you can output several pixel formats.

Vimba includes programming examples and an extensive user documentation.

Download Vimba

All Vimba downloads include programming examples and user manuals. You can download Vimba for free.


Downloads for ARMv7 32-bit:
Vimba ARM32 v4.0, Release Notes
Downloads for ARMv8 64-bit:
Vimba 4.2 ARM64, Release Notes

Downloads for Alvium MIPI CSI-2 cameras

Download drivers, code examples, and more for Alvium CSI-2 cameras.

Supported cameras and operating systems


  • Allied Vision GigE Vision cameras
  • Allied Vision USB3 Vision cameras
  • Allied Vision 1394 cameras (Windows only)
  • Allied Vision Camera Link cameras (Windows only)

Operating systems:

Vimba 4.2 was tested with:

  • Windows
    Windows 7, Windows 10
  • Linux (for GigE Vision and USB3 Vision cameras)
    Linux on standard PCs based on Intel-compatible processors. Tested distributions:
    • Ubuntu 20.04 LTS
    • Ubuntu 18.04 LTS
    • Ubuntu 16.04 LTS
    • Debian 10
    • CentOS 8.2
  • Linux for ARMv8 compatible embedded systems such as NVIDIA Jetson TX2. Tested distributions:
    • Ubuntu 18.04 LTS