The VisionAppster Engine
Introducing the free, high-performance engine that can run your vision apps anywhere – making maximum use of all available processing resources. It delivers all the tools and all the flexibility you need.
The VisionAppster Engine runs on lots of different
processor architectures, operating systems and
container technologies. We officially support Linux on
x86-64, ARM-32 and ARM-64 and Windows on x86-64.
Prebuilt images for Docker and Raspberry Pi are also
Unlimited building blocks
The VisionAppster Store brings you a large selection
of interoperable tools that can be installed as
components when building your app. You’ll find things
like deep learning based object detectors, QR code
readers, image filters and camera drivers. It’s full
of great stuff and growing every day.
Can’t find a ready-made component that suits your
needs? No problem! The VisionAppster Engine comes with
a wide variety of open extension interfaces. You can
write native extensions in C and C++, or any other
language that offers C bindings. It also supports
The VisionAppster Engine comes packed with lots of
built-in tools to help with common vision tasks like
image filtering, blob and color analysis, shape
detection, running deep learning models, gauging, and
code reading. It also supports a whole range of
cameras right out of the box.
All supported platforms include commonly used vision
and machine learning libraries like OpenCV, Dlib and
ONNX Runtime. Many library functions are provided as
high-level tools, and you can also easily access
low-level features from your code.
You can smoothly control the VisionAppster Engine and all apps running on it through an intuitive HTTP-based RPC mechanism. The VisionAppster Builder also lets you choose API entry points graphically, and everything else is automated. The web interface even automatically creates client code examples for accessing APIs.