Aurora Vision Library is a machine vision library for C++ and .NET programmers.
It provides a comprehensive set of functions for creating industrial image analysis
applications – from standard-based image acquisition interfaces, through low-level
image processing routines, to ready-made tools such as template matching, measurements
or barcode readers.
The functions available in Aurora Vision Library closely correspond to the filters of Aurora Vision Studio. Therefore, it is possible to prototype your algorithms quickly in a graphical environment and then translate them to C++ or .NET, or even generate the C++ code automatically.
Aurora Vision Library gives you instant access to the highest quality, well optimized and field-tested code that you need for your machine vision projects!
In Aurora Vision Library careful design of algorithms goes hand in hand with extensive hardware optimizations, resulting in performance that puts the library among the fastest in the world. Our implementations make use of SSE/AVX/NEON instructions and parallel computations on multicore processors.
All types of data feature automatic memory management, errors are handled explicitly with exceptions and optional types are used for type-safe special values. All functions are thread-safe and use data parallelism internally, when possible.
The library is a simple collection of types and functions, provided as a single DLL/SO file with appropriate headers. For maximum readability, functions follow consistent naming convention (e.g. SmoothImage, RotateVector). All results are returned via reference output parameters so that many outputs are always possible.
Free for everyone
fundamental image processing and 2D geometry
For companies developing their own algorithms but who need a strong base library (min. order: 25)
For companies providing solutions, looking for ready-made tools for industrial applications
|Runtime price for integrators (standard)
suitable for single-camera vision systems; a development license is required; contact sales for details
|Runtime price for integrators (multi-threaded)
suitable for multi-camera vision systems, 8-core CPU; a development license is required; contact sales for details
|Unified third party image acquisition
Allied Vision, Basler, Dahua, FLIR, Hikvision, IDS, Lucid Vision, MATRIX VISION, NET, ThorLabs, XIMEA, …
|Fundamental image processing
image smoothing, image morphology, spatial transforms, pixel-wise operators, gray-scale thresholding, file I/O
|Comprehensive library for 2D geometry|
|Region of interest functions|
Highly optimized with RLE representation
|Advanced geometrical algorithms
caliper diameter, fitting primitives to points etc.
|Basic computer vision
advanced thresholding, all color space conversions, LUT, Hough transform, watersheds, distance transform, image sharpness, extrema analysis, corner detection
|Advanced computer vision
image inpainting, high-quality 2D edge detection, morphology with arbitrary kernels, spatial transforms based on paths, color distance analysis, golden template, maximally stable feature regions, point pattern matching point, advanced contour (path) analysis, geometrical fitting with outliner suppression, 1D profile analysis, data classification tools (MLP, SVN, KNN, PCA), advanced statistical analysis
|GenICam + GigE Vision
Our GigE Vision consumer library is certified by AIA
Remove lens distortion, calculate real-world coordinates
EAN8, EAN13, UPCA, UPCE, Code39, Code93, Code12, Interleaved2of5, Pharmacode
Data Matrix, QR Code
NCC or edge-based
1D edge detection + shape fitting
|3D machine vision|
e.g. fast image segmentation, fast line segment detection
|Deep Learning Add-on
feature detection, anomaly detection, object classification, instance segmentation and point location
available as a DLL or SO + headers
available as a .NET assembly
|.NET controls for high speed image display
based on DirectX, Windows-only
|.NET controls for editing shapes and models
How does AVL compare to OpenCV?
OpenCV is a great open source library maintained by a non-profit foundation. In terms of fundamental image processing, OpenCV provides similar functionality to our AVL Lite. Major differences arise when it comes to higher level algorithms. OpenCV focuses on such topics as face recognition, augmented reality or motion segmentation. On the other hand, AVL provides ready-made tools for shape analysis, template matching or code reading which are more specific to industrial machine vision applications. Some unique features of AVL also are: blob analysis, any-shape regions of interest and support for industrial image acquisition interfaces. For more details see: Libraries Comparison.
I do not need entire library but some of the tools would be useful.
With minimum order of 25 runtime licenses we can offer you an OEM contract. You can select one or two modules that you are interested in and we will provide you that with a discount. Please contact our team for details.
Are there any discounts for volume?
Some of our customers buy hundreds or even thousands of runtime licenses per year. These we will provide with discounts. Please contact our sales for details.
How does your licensing work?
We offer development and runtime licenses. You need at least one development license and then one runtime for each system you deploy. The price of the runtime version depends on your quantity and hardware setup. Licenses for standard PC computers or embedded systems are cheaper than licenses for computers that can run many inspections in parallel. Our business model here assumes that we give you a product that greatly accelerates development of your vision systems, and the more successful you are the more we are rewarded too.
Aurora Vision Library C++ can be used with Microsoft Visual Studio C++ (2013-2019) and GCC compilers. It runs on industrial PCs as well as on embedded devices such as:
Please select installer from the table below: