Visual SLAM (Simultaneous Localization and Mapping)

Visual SLAM (Simultaneous Localization and Mapping) is a technology that allows a device, like a robot or a drone, to understand its position and build a map of an unknown environment using cameras. It works by analyzing images to identify features like edges or corners, then tracking how these features move over time. This helps the device figure out where it is within the environment while creating a map of the surroundings simultaneously. Essentially, Visual SLAM enables machines to see, navigate, and map their environment in real-time without prior knowledge.