Stereo Vision Cameras
Stereo vision cameras are hardware devices that use two or more image sensors to capture scenes from slightly different perspectives, enabling depth perception through triangulation. They are commonly used in robotics, autonomous vehicles, and augmented reality to create 3D maps and measure distances. This technology mimics human binocular vision by comparing disparities between images to compute depth information.
Developers should learn about stereo vision cameras when working on projects requiring real-time 3D sensing, such as obstacle detection in drones, navigation for self-driving cars, or gesture recognition in interactive systems. They are particularly useful in environments where other depth-sensing methods like LiDAR are too expensive or where lighting conditions vary, as they rely on passive imaging rather than active illumination.