OpenCV (Open Source Computer Vision Library) is a free and open-source software library of programming functions mainly used for real-time computer vision and machine learning applications. It was initially developed by Intel in 1999 as a research initiative to advance CPU-intensive applications, and it was later supported by Willow Garage and Itseez, which was later acquired by Intel. OpenCV is cross-platform and supports Windows, Linux, Mac OS, iOS, and Android.
OpenCV provides a common infrastructure for computer vision and machine learning applications. It has C++, C, Python, and Java interfaces and is released under a BSD license, making it free for both academic and commercial use. OpenCV is written in optimized C/C++ to take advantage of multi-core processing, and it features GPU acceleration for real-time operations.
OpenCVs deployed uses span a wide range of applications, including face recognition, automated inspection and surveillance, counting the number of people in a mall, vehicle counting on highways, interactive art installations, and anomaly detection in the manufacturing industry. OpenCV has even been used in sound and music recognition, where vision recognition techniques have been applied to sound spectrogram images.
In summary, OpenCV is a powerful library of programming functions used for real-time computer vision and machine learning applications. It provides a common infrastructure for computer vision and machine learning applications, and it is cross-platform and free for both academic and commercial use. OpenCV is written in optimized C/C++ to take advantage of multi-core processing, and it features GPU acceleration for real-time operations.
