Post — 10 Min Read

Rinocloud’s AI RAWTest a Resounding Success

Labskin’s sister company Rinocloud has completed a three-year Remote Automated Water Test (RAWTest) research project using their AI technology in a joint project partly funded by the Irish Environmental Protection Agency (EPA).

The joint project consisted of teams from the Irish EPA, Cork Institute of Technology’s Centre for Advanced Photonics & Process Analysis (Cappa Group), the CIT Nimbus embedded systems research institute alongside our Rinocloud AI tech team.

Our AI platform was used to test water samples from a fully autonomous data buoy placed on the Iniscarra Water Reservoir in Cork, Ireland for E.coli. E.coli is a bacterium that can cause stomach upset in Humans. Using the AI platform, E coli was detected with 99.3% accuracy in 3.37 seconds. When compared with the standard test detection time of 5-7 days, this is a massive step forward in detection of bacteria and subsequent treatment of water supplies.

How does it work?

To achieve those results with the Wireless RAWTest, Rinocloud’s AI engine analysed wireless transmission of water data for 13 key AI features, which work as indicators, from over one thousand data elements identified by Raman Spectroscopy. The 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 the data was immediately available on the secure Rinocloud portal ensuring immediate access to the team for prompt action. This opens potential for other microscopic parasite detection, e.g. Cryptosporidium and Giardia, following data samples input.

Future Possibilities for RAWTest and the AI engine behind it

According to the World Economic Forum, water scarcity affected every continent in 2019. Water scarcity is defined as the lack of freshwater resources to meet water demand. Governments of developed countries know only too well the economic costs of extended water-boil notices when environmental agencies examine and detect bacteria and subsequently treat the water supplies. Reducing the length of time these notices are in place is now possible using RAWTest.

Remote Detection of Malaria in Blood

Malaria is a mosquito-borne infectious disease that affects both humans and animals. It is most prevalent in equatorial countries. In 2016 there were 216 million reported cases of malaria infection globally, resulting in approximately 445,000 to 731,000 deaths. There is potential for RAWTest to be utilised for remote detection of the disease in third world countries.

Mastitis Detection in Milk Herds

Mastitis is a bacterial infection which causes inflammation of the mammary gland, or udder, of a milking cow. There has been a resurgence in infected herds in recent years and results in antibiotic treatment for the cow and removal from the milking system until all traces of antibiotic is gone from their system. RAWTest can be used for early and fast detection by using in-line milking machines to detect mastitis in a single cow, instantly stopping production and eliminating the contamination of the rest of the herd, in turn saving money and ensuring optimal animal welfare.

Wine Fermentation Processing

Small, medium and large winery fermentation processes are subject to bacteria that are a hazard for both consumer safety and shelf-life stability and longevity. In-line detection can mean the ability to save an annual batch of wine that affects the taste.

There are a multitude of areas which may benefit from the utilisation of RAWTest’s capabilities. Detection and analysis of Listeria bacteria in public spaces such as hospitals, hotels, conference halls and so forth to reduce large-scale infections. Early warning systems for ethanol and alcohol producers at risk of bacterial infection. The possibilities are endless.

For further information on our AI technology please contact