DEVELOPMENT OF FAR INFRARED MULTISPECTRAL THERMAL IMAGE SENSORS

Grant number: LP160101475 | Funding period: 2017 - 2020

Completed

Abstract

This project aims to develop a technology that will bypass limitations of existing thermal-image sensor pixels to produce multi-spectral imaging of objects with specificity, clarity and sharpness in a wide range of far infrared wavelength regions. This technology has applications in remote sensing, pest control, and precision agriculture. The project is based on an existing collaboration between The University of Melbourne and the start-up company Digital Falcon. Digital Falcon provides extensive industry service in developing custom image analysis algorithms and post processing to visualisation tools. The University of Melbourne provides research expertise in image sensor pixel technology a..

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Related publications (4)

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Assessment of Smoke Contamination in Grapevine Berries and Taint in Wines Due to Bushfires Using a Low-Cost E-Nose and an Artificial Intelligence Approach

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Development of a low-cost e-nose to assess aroma profiles: An artificial intelligence application to assess beer quality

Claudia Gonzalez Viejo, Sigfredo Fuentes, Amruta Godbole, Bryce Widdicombe, Ranjith R Unnithan

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The assessment of aromas in beer is critical to assess its quality since it could be used as an indicator of contamination or faul..

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Transmission Enhancement in Coaxial Hole Array Based Plasmonic Color Filter for Image Sensor Applications

Xin He, Nicholas O'Keefe, Yajing Liu, Dechuan Sun, Hemayet Uddin, Ampalavanapillai Nirmalathas, Ranjith Rajasekharan Unnithan

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Plasmonic color filters based on the hexagonal arrangement of coaxial hole array in aluminum have been demonstrated as a promising..