OpenCV - Open Source Computer Vision Library

History & Origins

OpenCV was originally developed by Intel in 1999 to advance CPU-intensive applications, focusing on real-time computer vision. It is now one of the most popular open-source computer vision and machine learning libraries worldwide, supporting C++, Python, Java, and more.

The project website is https://opencv.org/.

Core Features

• Extensive algorithms for image and video processing.
• Support for object detection, facial recognition, motion tracking.
• Machine learning integration for classification and prediction.
• Cross-platform compatibility: Windows, Linux, macOS, Android, iOS.
• Python bindings for easy integration and rapid prototyping.

Applications

• Robotics and autonomous vehicles.
• Augmented and virtual reality.
• Medical imaging and diagnostics.
• Security and surveillance systems.
• Industrial automation and quality control.