Fast Forward to 2019
Five years later, with funding provided by Enterprise Ireland and the Environmental Protection Agency, along with the cooperation of domain expert colleagues in University of Cambridge (“Engineering”), Cork Institute of Technology (“Photonics”) and Rinocloud (“AI”), the Remote Automated Water Test (“RAWTest”), was successfully launched.
The scientific journey along the way involved physics, chemistry and biology. The engineering journey involved glass microchips, 3D printing and adapting and miniaturising various types of kit. The software journey involved getting to grips with copious amounts of data, while using AI to make sense of it.
Deep Learning, Pushing to the Verge
The journey was full of challenges, deep learning and a continuous pushing to the verge of science because we were chasing a wily adversary that is roughly 40 times smaller than the thickness of a human hair; only 2 microns in size, yet more than capable of contaminating a drinking water system or closing down a beach for swimming.
All that aggregated and accumulated knowledge is now being amplified as the new mission is to identify a much more deadly adversary, SARS-CoV-2, the virus that causes COVID-19.
A team of Integumen staff, partners and customers is well on its way to adapting our RAWtest platform to detect and identify the virus in wastewater in real time. We are also training new AI models to extrapolate the size of the cluster infected from that detection.
This project represents a ground-breaking initiative for control of the Pandemic. The platform is relevant for governments, cities, local authorities, industries, military, corporates, transport companies, etc. urgently seeking real-time identification of local Covid 19 hotspots, the prediction of fresh coronavirus outbreaks and for advice on required areas of containment.