Skip to main content
European Commission logo
English English
CORDIS - EU research results
CORDIS

Water treatment and reuse technology based on constant water quality monitoring thanks to multi-censoring and AI-Deep Learning software for the Food Industry

Project description

New sensors to maintain good water quality

The food industry is notorious for the vast amounts of water it consumes. For instance, washing in the fruit and vegetable sector accounts for 50 % of water use. While optimising water consumption is crucial, ensuring the quality of the water used to wash and process food products is just as important. The EU-funded FOODWATERH2020 project is developing a fully automated and compact solution for monitoring water quality to protect consumers from harmful bacteria like E. coli, salmonella and listeria. It uses special sensors combined with an embodied artificial intelligence software based on deep learning technology. Not only will this solution recover up to 99 % of food process water, it will also remove up to 99 % of water contaminants.

Objective

Every year in Europe, 3,6 Gm3 of fresh water is used for the food industry. This represent a cost of up to 14,5 G€/year considering both cost of fresh water and water disposal. Depending on the water quality used to wash and process food products, harmful bacteria (e.g. E.Coli Salmonella, Listeria) can be rapidly contaminate food and expose consumers to serious illnesses. On the other side, around 88 Mtons of food waste are generated annually in Europe with associated costs estimated at 143G€ and carbon footprint of 170Mt of CO2. Current solutions for water recycling are either using old technics such as settling ponds (80% of the market) or recycling industrial systems (20% of the market). They show several important inconvenient such as high ground footprint, low water recovery rate, low contaminant removal rate, high energy consumption, non-automatized system, etc. FOODWATERH2020 is the first fully automatized and compact solution which monitor constantly the water quality thanks to its highly precise multi sensors combined with an embodied IA software based on Deep Learning Technology which allow to: 1) recover up to 99% of food process water, 2) Reduce up to 10 times current costs of food process water (down to 0,40-0,80€/m3), 3) Remove up to 99% of water contaminant such as non-systemic pesticides (from food surface), pathogens, clay and sand, 4) provide a 100% reliability on food safety by always respecting food standards and eliminating food returns to our clients, 5) increase up to 54% the shelf life of food products, 6) Reduce by 30-35% the energy footprint compared to current compact solutions and 7) Reduce the ground footprint up to 20 times compare to ponding systems. VAM WaterTech B.V. (Nederland) is a well-established engineering SME founded in 1995 with an annual turnover of 5,9 M€ (in 2018 – forecasting 6,6M€ for 2019), 19,5 FTE employees and with an orderbook full until April 2020.

Call for proposal

H2020-EIC-SMEInst-2018-2020

See other projects for this call

Sub call

H2020-SMEInst-2018-2020-1

Coordinator

VAM WATERTECH B.V.
Net EU contribution
€ 50 000,00
Address
MONSTERWEG 64
4454 AC BORSSELE
Netherlands

See on map

SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
West-Nederland Zeeland Overig Zeeland
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost
€ 71 429,00