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Fast detection of SARS-CoV-2 contaminated surfaces using multispectral holographic and optical analysis with artificial intelligence

Description: currently there are no methods to detect and visualize the presence of the SARS-CoV-2 on material surfaces. This project aims to design, develop and evaluate a prototype of a portable device (using existing optical technologies combined with artificial intelligence) for rapid and contactless detection of contaminated areas in surfaces. To do so, this project will: i) combine multispectral images in the optical range (ultraviolet to thermal infrared) and terahertz, ii) use optical analysis methods computational, interferometry and holography, iii) integrate information through intelligence artificial, and iv) carry out laboratory tests and in contaminated and clean environments.

More information: Expected impact: Rapid detection of SARS-CoV-2 and prevention of contagion through the use of existing optical technologies combined with artificial intelligence in a portable device for the fast, non-contact, in-situ analysis of contaminated areas on the surfaces of different materials. Applicable tool in cleaning and decontamination tasks in various environments and facilities, both sanitary and general use buildings. Its impact would be very high on control epidemiological and containment of the pandemic.

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