As if smartphones can't already do enough, soon they may be able to scan
three-dimensional objects and send the resultant high-resolution 3D
images to a 3D printer that produces hyper-accurate replicas. This comes
thanks to a small and inexpensive device called a nanophotonic coherent
imager (NCI), which was developed by scientists at Caltech. The NCI
could add 3D imaging to a variety of other devices and applications such
as improving motion sensitivity in human machine interfaces and
driverless cars.
Unlike in conventional cameras, the NCI chip determines both the
appearance and distance at each pixel of the part of a scene or object
that it represents. The NCI uses an array of tiny LIDARs (scanning laser
beams) to gather this information about an object's size and distance
away, with an optical concept called coherence (wherein waves of the
same frequency align perfectly) exploited to make high-resolution images
possible.
The coherent laser light from the NCI acts as a kind of ruler,
measuring the precise distance of each point from the camera so that
they can be mapped onto a 3D image of the scene.
The researchers believe this enables 3D imaging at a greater level of
depth-measurement accuracy than ever before in silicon photonics, while
at the same time the NCI's tiny size – just 300 microns across in their
16-pixel proof of concept – makes pos
.
The current limitation of 16 coherent pixels did not stop the
researchers from imaging the front face of an American one-cent coin
from half a meter (1.5 ft) away with a method that scanned in
four-by-four pixel increments.
The researchers see broad applications for their device, which they
believe could easily be scaled up to house arrays of hundreds of
thousands of pixels – which is closer to what would be required in
real-world high-resolution 3D imaging through a camera lens. NCI could
find use in security, robotics, gesture recognition, biomedical imaging,
personal electronics, and more.
A paper describing the research was published in the journal
Optics Express.
Source:
Caltech
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