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Structured Light Sensor

A structured light sensor is a 3D scanning device that projects a known pattern of light (such as grids or stripes) onto an object and uses one or more cameras to capture the deformation of this pattern. By analyzing how the pattern distorts on the object's surface, the sensor calculates depth information to create a detailed 3D model or point cloud. It is widely used in applications like industrial inspection, robotics, augmented reality, and biometrics for accurate non-contact 3D measurements.

Also known as: Structured Light Scanner, Structured Light 3D Sensor, Pattern Projection Sensor, SLS, Structured Light Depth Sensor
🧊Why learn Structured Light Sensor?

Developers should learn about structured light sensors when working on projects requiring high-precision 3D scanning, such as quality control in manufacturing, object recognition in robotics, or facial recognition systems. It is particularly useful in scenarios where contact-based methods are impractical or where rapid, detailed surface reconstruction is needed, like in medical imaging or cultural heritage preservation.

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