OpenCV is a real-time optimized Computer Vision library that provides various tools and hardware. It supports model execution for Machine Learning (ML) and Artificial Intelligence (AI).

Key Features

  • Open Source: OpenCV is open source and released under the Apache 2 License. It is free for commercial use.
  • Optimized: It is a highly optimized library focusing on real-time applications.
  • Cross-Platform: OpenCV provides C++, Python, and Java interfaces that support Linux, MacOS, Windows, iOS, and Android.


  • Hire a team of AI experts.
  • OpenCV University: A trustworthy destination for learning Computer Vision, Deep Learning, and AI.
  • OpenCV Face Recognition: Combines the world’s largest Computer Vision library with the world’s top-rated Face Recognition technology.


OpenCV University offers various courses including:

  • Mastering OpenCV with Python
  • Fundamentals of CV & IP
  • Deep Learning with PyTorch
  • Deep Learning with TensorFlow & Keras
  • Computer Vision & Deep Learning Applications
  • Mastering Generative AI for Art


OpenCV has partnerships with several notable companies, including Intel, its Platinum Member. There are also Gold Membership and Development Partnership options.

Use Cases

OpenCV is widely used in AI and ML applications, particularly in face recognition technology. It is also used in various educational courses to teach Computer Vision, Deep Learning, and AI.

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