SWIR Imaging Applications

SWIR Microscopy

SWIR MICROSCOPY

Short wave infrared is an evolutionary step toward our ability to attain more data that can be leveraged as useful information.  Scientists from around the world all agree that cost-effective SWIR imagers can expand their SWIR imaging research capabilities dramatically through expanded and deeper analysis of various materials.   Going beyond visible wavelengths to the 400-700nm range opens broad new world of research and opportunity to make a difference in the world we live.

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SWIR Surveillance

SWIR SURVEILLANCE

Observation and monitoring the world around us for safety and security purposes has been greatly enhanced with the invention and application of  various technologies.  With InView’s CS based SWIR solutions, security professionals can deploy these new capabilities both on and off the battlefield allowing observation experts the ability to ‘see through’ some of the most common elements including fog, smoke, sun, and dust.

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SWIR Maritime

SWIR MARITIME

Maritime navigation and security has evolved in recent years through the advancement of technology and demand created by new challenges facing open water and inland waterway situations. Everything from fog, on and off shore, to pirates in the open sea, the requirements for safe transit have changed dramatically in recent years and SWIR imaging is helping resolve common safety problems through its innate ability to provide more visual information during the most challenging times; at night and/or in and around fog or smoke.

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Compressive Sensing

COMPRESSIVE SENSING

Compressive Sensing (CS) is an innovative process of acquiring and reconstructing a signal that is sparse or compressible. Around 2004 Emmanuel Candès, Terence Tao and David Donoho discovered important results on the minimum number of data needed to reconstruct an image even though the number of data would be deemed insufficient by the Nyquist–Shannon criterion. Starting in 2004, Professors Rich Baraniuk and Kevin Kelly of Rice University pioneered the application of CS to the creation of actual cameras and developed the “single-pixel” camera technique employing over $10M in government funding.

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