Visual SLAM systems are an important term within the categories of artificial intelligence, drone technology and robots. SLAM stands for "Simultaneous Localisation and Mapping", which means that a system can simultaneously determine its own position and create a digital map of its surroundings - using only cameras instead of expensive special equipment.
An illustrative example: Imagine a drone inspecting an unknown building. The drone uses its camera to take pictures. With the help of visual SLAM systems, it recognises important points of orientation in order to adjust its flight route in real time and simultaneously create a map view of the building. It knows where it is at all times - without GPS.
Visual SLAM systems also play a major role in robots, for example in autonomous hoovers that map your home and clean it efficiently. By processing camera images, the robot "learns" its surroundings and moves safely, even when you move furniture.
For modern applications in the field of artificial intelligence and automation, visual SLAM systems are a real key to enabling machines to navigate autonomously and safely.
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