RE: Gpt104 Mar 2021 11:43
20 November 2019
Integumen PLC
("Integumen" or "Company")
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."
Wireless RAWTest
-- Rinocloud's AI engine analysed wireless transmission of water data for 13 key AI features, which work as indicators, from 1000+ data elements identified by Raman Spectroscopy.
-- Results showed a 99.3% accuracy in identifying E.coli in water
-- A system of exception alarms was set up by email to escalate a positive sample to the appropriate control group
-- All data was immediately available on the secure Rinocloud portal for access by approved parties for immediate action
-- Potential for other microscopic parasite detection, e.g. Cryptosporidium and Giardia, following data samples input.
Water Scarcity:
Water scarcity is the lack of freshwater resources to meet water demand. It affects every continent and was listed in 2019 by the World Economic Forum as one of the largest global risks in terms of potential impact over the next decade([i]) .
The deployment of wireless RAWTest Buoys in water treatment plants would be a world first and have a positive impact on water consumer service metrics, reducing the average length of time water would be shut off in the event of contamination, red