SLIDAR™ ❂ 3-D Sensing
Our Structured Light Detection and Ranging (SLIDAR™) techniques address the gaps in current 3-D data capture systems.
The enabling technology is active stereo vision, where (by analogy with human stereo vision) one "eye" is an existing camera that passively receives incoming light, while the other "eye" actively projects light outwards onto the scene, where it bounces back to the passive eye.
The projected light is patterned in a way that is known and pre-calibrated; after capturing a photo, the stereo vision software can cross-reference this image with its pre-calibrated reference image. After finding feature matches between the current and reference image, the algorithm computes an estimate of the depth. It performs this operation for each pixel, ultimately yielding a high-resolution depth image that matches pixel-for-pixel with the standard 2-D color image.
Form Factor Flexibility
Alternative configurations allow the SLIDAR platform to meet various Size, Weight and Power (SWaP) criteria. Here are Raspberry Pi and Smartphone attachment variants.