DEVELOPMENT OF FAR INFRARED MULTISPECTRAL THERMAL IMAGE SENSORS
Grant number: LP160101475 | Funding period: 2017 - 2020
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..View full description
Related publications (4)
Early Detection of Aphid Infestation and Insect-Plant Interaction Assessment in Wheat Using a Low-Cost Electronic Nose (E-Nose), Near-Infrared Spectroscopy and Machine Learning Modeling
Sigfredo Fuentes, Eden Tongson, Ranjith R Unnithan, Claudia Gonzalez Viejo
Advances in early insect detection have been reported using digital technologies through camera systems, sensor networks, and remo..
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
Sigfredo Fuentes, Vasiliki Summerson, Claudia Gonzalez Viejo, Eden Tongson, Nir Lipovetzky, Kerry L Wilkinson, Colleen Szeto, Ranjith R Unnithan
Bushfires are increasing in number and intensity due to climate change. A newly developed low-cost electronic nose (e-nose) was te..
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
The assessment of aromas in beer is critical to assess its quality since it could be used as an indicator of contamination or faul..
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
Plasmonic color filters based on the hexagonal arrangement of coaxial hole array in aluminum have been demonstrated as a promising..