RE: MWG could be the key to early detection of covid 19 globally10 May 2020 15:41
See 20 Nov RNS of Integumen as MWG is using its AI -
Integumen announces successful results of AI water research project
Rinocloud AI remotely detects contaminated water with 99.3% accuracy in 3.37 seconds
Integumen today announces the successful results of a three-year development Remote Automated Water Test research project (RAWTest), using Artificial Intelligence (AI) in a consortium partly funded by the Irish Environmental Protection Agency (EPA).
The Project
The consortium comprised of the Irish Environmental Protection Agency (EPA), Cork Institute of Technology's (CIT) Centre for Advanced Photonics & Process Analysis (Cappa Group), the CIT Nimbus embedded systems research institute and the AI team from Integumen's Rinocloud subsidiary.
Rinocloud's AI platform was used to test water samples from a fully autonomous data buoy deployed on the Inniscarra Water Reservoir in Cork, Ireland, for E.coli, a bacterium that can cause illness in humans, including diarrhoea, abdominal pain, fever and sometimes vomiting.
Results: The positive detection of E.coli bacteria in the water was detected with 99.3% accuracy in 3.37 seconds. This compares to current standard test detection time of between 5-7 days.
Gerard Brandon, CEO of Integumen plc, comments:
"Integumen continues to lead the way with practical demonstrations of solutions for real-world problems. Remote detection of water contamination across the globe is a first and third world problem with future climate change threatening to increase flooding and contribute to water shortages. This means increased reliance on recycling and recovery of water supplies, which in turn requires wireless monitoring of all water supplies before consumer consumption. RAWTest, we believe, can contribute to keeping our water, and healthcare, safe."