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A Single Sensor Based Multispectral Imaging Camera using a Narrow Spectral Band Colour Mosaic Integrated on the Monochrome CMOS Image Sensor
Xin He,Yajing Liu,Kumaravelu Ganesan,Arman Ahnood,Paul Beckett,Fatima Eftekhari,Daniel Smith,Hemayet Uddin,Efstratios Skafidas,Ampalavanapillai Nirmalathas,Ranjith Rajasekharan Unnithan +10 more
TL;DR: In this article, a single sensor based three band multispectral camera using a narrow spectral band RGB colour mosaic in a Bayer pattern integrated on a monochrome CMOS sensor was demonstrated.
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Abstract: A multispectral image camera captures image data within specific wavelength ranges in narrow wavelength bands across the electromagnetic spectrum. Images from a multispectral camera can extract additional information that the human eye or a normal camera fails to capture and thus may have important applications in precision agriculture, forestry, medicine and object identification. Conventional multispectral cameras are made up of multiple image sensors each fitted with a narrow passband wavelength filter and optics, which makes them heavy, bulky, power hungry and very expensive. The multiple optics also create image co-registration problem. Here, we demonstrate a single sensor based three band multispectral camera using a narrow spectral band RGB colour mosaic in a Bayer pattern integrated on a monochrome CMOS sensor. The narrow band colour mosaic is made of a hybrid combination of plasmonic colour filters and heterostructured dielectric multilayer. The demonstrated camera technology has reduced cost, weight, size and power by almost n times (where n is the number of bands) compared to a conventional multispectral camera.
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Citations
Nanophotonic Structural Colors
Soroosh Daqiqeh Rezaei,Zhaogang Dong,John You En Chan,Jonathan Trisno,Ray J. H. Ng,Qifeng Ruan,Cheng-Wei Qiu,N. Asger Mortensen,Joel K. W. Yang +8 more
TL;DR: Structural colors traditionally refer to colors arising from the interaction of light with structures with periodicities on the order of the wavelength as mentioned in this paper, and have been broadened to include other colors.
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Plasmonic Mid-Infrared Filter Array-Detector Array Chemical Classifier Based on Machine Learning
TL;DR: This research presents a novel, scalable and scalable approaches that can be applied to the rapidly changing environment and provide real-time information about the physical and chemical properties of chlorine.
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Compact Chemical Identifier Based on Plasmonic Metasurface Integrated with Microbolometer Array
Jiajun Meng,Luke Weston,Sivacarendran Balendhran,Dandan Wen,Jasper J. Cadusch,Ranjith Rajasekharan Unnithan,Kenneth B. Crozier +6 more
TL;DR: In this article , a machine learning algorithm is trained to analyze the micro-spectrometer output and classify chemicals based on their mid-infrared fingerprints, and high accuracy identification of four liquid chemicals, concentration quantification of ethyl lactate in cyclohexane down to subpercentage levels, and the classification of food and drug samples is demonstrated.
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Beyond Tristimulus Color Vision with Perovskite-Based Multispectral Sensors.
Wayesh Qarony,Haris Ahmad Khan,Mohammad Ismail Hossain,Masayuki Kozawa,Alberto Salleo,Jon Yngve Hardeberg,Hiroyuki Fujiwara,Yuen Hong Tsang,Dietmar Knipp +8 more
TL;DR: In this article , optical multispectral sensors based on perovskite semiconductors have been proposed, simulated, and characterized, which can be applied in several emerging areas, including biomedical imaging, surveillance, complex motion planning of autonomous robots or vehicles, artificial intelligence and agricultural applications.
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Appraisal of Low-Cost Pushbroom Hyper-Spectral Sensor Systems for Material Classification in Reflectance.
TL;DR: It was found that even the color Raspberry Pi cameras that are popular with STEM applications were able to record and distinguish between most minerals and, contrary to expectations, exploited the infra-red secondary transmissions in the Bayer filter to gain a wider spectral range.
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Wearable sweat sensors
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