OpenCV (Open Source Computer Vision Library) is released under a BSD license and hence it’s free for both academic and commercial use. It has C++, C, Python and Java interfaces and supports Windows, Linux, Mac OS, iOS and Android. OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.

Adopted all around the world, OpenCV has more than 47 thousand people of user community and estimated number of downloads exceeding 14 million. Usage ranges from interactive art, to mines inspection, stitching maps on the web or through advanced robotics.


Latest news

Embedded Vision Summit 2017 - Making OpenCV code run fast
Mar 31, 2017
OpenCV team will give a talk at the Embedded Vision Summit 2017: "Making OpenCV code run fast"
OpenCV 3.2
Dec 23, 2016
OpenCV 3.2 is out. It's a long-awaited update to OpenCV 3.x release series, with tons of improvements and bug fixes.
People's Choice Award at CVPR 2016
Jun 27, 2016
OpenCV will be running the People's Choice Award, sponsored by Intel, at CVPR 2016, to update and extend the OpenCV library.
Intel acquires Itseez
May 27, 2016
On May 25, Intel signed a definitive agreement to acquire Itseez, Inc., an expert in Computer Vision (CV) algorithms and implementations for embedded and specialized hardware.