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Depth Sensors

Depth sensors are hardware devices that measure the distance to objects in their field of view, typically using technologies like structured light, time-of-flight (ToF), or stereo vision to create depth maps or point clouds. They are commonly integrated into systems for 3D scanning, augmented reality (AR), robotics, and autonomous navigation, providing spatial awareness beyond traditional 2D imaging. Examples include the Microsoft Kinect, Intel RealSense, and LiDAR sensors used in smartphones and self-driving cars.

Also known as: 3D sensors, Depth cameras, Range sensors, ToF sensors, LiDAR
🧊Why learn Depth Sensors?

Developers should learn about depth sensors when working on projects that require 3D perception, such as computer vision applications, robotics for obstacle avoidance, or AR/VR experiences that need accurate spatial mapping. They are essential in fields like autonomous vehicles for real-time environment sensing, in industrial automation for quality inspection, and in healthcare for motion tracking or surgical assistance, enabling precise interaction with the physical world.

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