Present infrared (IR) detection techniques are limited due to the absence of spectroscopic or “color” detection/imaging abilities. At present all cooled and uncooled MWIR and LWIR detectors are being “bucket” detectors generate integrated spectral images in the binary color format (choices of any two pseudo colors). To date very little research work has been performed on frequency selective detection. On the other hand if we see natural world we find many animals that can see over multiple spectral bands in the visible as well as in the infrared domain. Mantis shrimp eye is an example of a complex eye which is comprised of an elegant 12 channel spectrum sampler that spans the range 300-750 nm, with spectral bandwidth of around 40 nm. These are among the sharpest spectral sensitivities in the animal kingdom. The key aspect of their eye is “biological light funnel” apparatus which collect light over a wide angle with near perfect efficiency. Another biological masterpiece is pit vipers that have heat-sensitive membranes that can detect the difference in temperature between a moving prey—such as a running mouse—and its surroundings on the scale of milli Kelvins. Their infrared eye (“the pit”) has unique abilities to scatter visible light away and transmit only a band of infrared light which reduces background noise substantially. The grand challenge: Can we create an artificial eye/imaging system which has spectral resolving power like Mantis shrimp but viper like detection ability in the infrared domain? The talk will focus on the multi-spectral sensing/imaging that will provide unique intelligence in terms of spectrally resolved IR signature and/or “color” IR images. The novel printing/imprinting techniques enable development of large area, low cost IR detectors which can be mounted on various platforms efficiently with low SWaP requirements.
Debashis Chanda, "Bio-inspired uncooled multispectral infrared imaging with mK range temperature resolution (Conference Presentation)," Proc. SPIE 10639, Micro- and Nanotechnology Sensors, Systems, and Applications X, 106390L (Presented at SPIE Defense + Security: April 16, 2018; Published: 14 May 2018); https://doi.org/10.1117/12.2295810.5783258987001.
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