OpenCV projects are applications and systems developed using the OpenCV library. OpenCV is a free, open-source computer vision and machine learning software library, and provides a wide range of tools for image and video processing, object detection, and machine learning algorithms. Some examples of OpenCV projects include:

1. Object Detection: Building systems for detecting and tracking objects in images or videos. This includes face detection, pedestrian detection, and vehicle detection, among others.
2. Image Processing: Developing applications for transforming and manipulating images, including color correction, filtering, and edge detection.
3. Computer Vision: Building systems for understanding the visual world, including image and video analysis, and scene understanding.
4. Augmented Reality: Creating augmented reality applications using OpenCV, such as overlaying virtual images on real-world scenes.
5. Human-Computer Interaction: Building systems that allow for interaction between humans and computers using hand gestures or body movements, using techniques such as hand or body pose estimation.
6. Robotics: Integrating OpenCV into robotics systems for tasks such as object recognition, navigation, and path planning.

OpenCV is a versatile library and can be used for a wide range of computer vision and image processing projects, making it a popular choice for researchers, developers, and hobbyists alike.