Developers use OpenCV for tasks like image processing, object detection, and video analysis. It provides tools to perform operations such as edge detection, image filtering, and feature extraction.
OpenCV is often used for real-time applications like facial recognition, motion tracking, and augmented reality. Its Python bindings make it accessible for prototyping, while C++ support ensures high performance in production.
With its extensive library and ease of integration, OpenCV is a go-to choice for developing computer vision solutions across various domains.