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OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code. The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, and stitch images together to produce a high-resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery, etc.

SikuliX is an open source automation tool that enables users to automate any visible element on their desktop screens across Windows, Mac, or certain Linux/Unix systems. It utilizes image recognition powered by OpenCV to identify and interact with screen elements, allowing for the automation of tasks that are otherwise difficult to script. SikuliX offers an Integrated Development Environment (IDE) for writing visual scripts using screenshots, as well as a Java API for integrating image-based automation into existing applications. The software packages representing SikuliX are open source under the MIT license and publicly available for whatever use. SikuliX internally uses OpenCV to support image-related features and Tesseract for text features. The latest stable version, SikuliX 1.1.1, is recommended for use.