Explore the words cloud of the Food Monitor project. It provides you a very rough idea of what is the project "Food Monitor" about.
The following table provides information about the project.
Coordinator |
Insort GmbH
Organization address contact info |
Coordinator Country | Austria [AT] |
Total cost | 1˙600˙352 € |
EC max contribution | 1˙120˙246 € (70%) |
Programme |
1. H2020-EU.3. (PRIORITY 'Societal challenges) 2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs) 3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies) |
Code Call | H2020-SMEInst-2018-2020-2 |
Funding Scheme | SME-2 |
Starting year | 2019 |
Duration (year-month-day) | from 2019-08-01 to 2021-07-31 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | Insort GmbH | AT (Kirchberg a.d. Raab) | coordinator | 1˙120˙246.00 |
Nearly 67% of the food we eat is processed. With increased concern for food security, safety, traceability and the environmental impact of the food production, the industry needs to assure the quality of their products while reducing their costs. This is done mainly through lab analysis. However, despite the detail and accuracy, the results are often too late to have a real impact in the processing chain. There is no efficient means of accurately analyzing products in-line and in real-time to assure product safety, quality, increased sustainability and greater factory efficiency. Thus, there is a market opportunity for quick, precise and flexible food analysis systems. Insort GmbH is a highly specialized company for optical sorting of food products. We have been developing innovative technologies for the classification and sorting of products for the food industry since 2011. We were founded in Austria by Mr. Matthias Jeindl in cooperation with Infruits AG and EVK DI Kerschhaggl GmbH, and recently expanded our activity to several countries in Europe, the USA and Canada. Our latest innovation, the Sherlock FoodMonitor, is a food analyzer that provides the chemical composition of products in real time and at any given point of the processing chain. It allows to identify potentially dangerous substances, foreign materials, fraudulent meat, as well as variations in the inner characteristics (e.g. size, shape, dry matter, sugar, fat content). The acquired data can be used to modify parameters during processing to reduce the creation of undesired compounds and for quality assurance at any point of the line, contributing the industry 4.0 of the future. In this phase 2 project, we will improve the scanning capabilities of the Sherlock FoodMonitor to bring it to TRL9 and prepare its market launch for 2021. Our solution will enable food companies to produce safer and higher quality products, while reducing food waste and improving factory sustainability and profitability
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The information about "FOOD MONITOR" are provided by the European Opendata Portal: CORDIS opendata.
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