Opendata, web and dolomites

GM-SCAN

AUTOMATIC VERTICAL SCANNER FOR DETERMING LEAN DISTRIBUTION IN ANIMAL CARCASSES (AVSCAN)

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "GM-SCAN" data sheet

The following table provides information about the project.

Coordinator
G & M STEEL FABRICATORS LIMITED 

Organization address
address: COES ROAD INDUSTRIAL ESTATE
city: DUNDALK
postcode: n.a.
website: www.gmsteel.com

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Ireland [IE]
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
2. H2020-EU.3.2. (SOCIETAL CHALLENGES - Food security, sustainable agriculture and forestry, marine, maritime and inland water research, and the bioeconomy)
 Code Call H2020-SMEINST-1-2014
 Funding Scheme SME-1
 Starting year 2015
 Duration (year-month-day) from 2015-01-01   to  2015-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    G & M STEEL FABRICATORS LIMITED IE (DUNDALK) coordinator 50˙000.00

Map

 Project objective

Meat industry generates an annual turnover of €203b in the EU-28, and employs 560,000 people. The slaughtering sector plays a key role within the meat industry, being represented by more than 4,500 companies, and generating a turnover of €73b. In a context of a strong market competitiveness, slaughterhouses are striving to minimize production costs and maximize the value of their raw meat products by improving their segmentation. In particular, meat processors increasingly request pre-classified products according to lean content. This demand is raising the interest of slaughterhouse industry for more accurate and reliable technologies to automatically grade animal carcasses according to the lean content in their primal cuts. Existing grading technologies in the market have limitations in terms of performance, robustness and cost. Moreover, they rely on measuring morphological parameters of the carcass to predict lean content, which makes the calibrations strongly dependent on the animal breed, and compromises the reliability of the carcass classification. Based on previous knowledge established in a former European Research Project, we aim at validating a novel carcass grading technology, which is able to accurately provide a direct measurement of the lean content in the carcass and its primal cuts, thus being independent of breed variations. The technology under development offers additional advantages over competing technologies in terms of cost, and easiness of integration. The estimated potential market for GM-SCAN is around €150M, and through our established network of customers in the sector we expect to be able to generate €13.8M after 5 years. GM-SCAN technology has been already demonstrated at pig slaughterhouses (TRL7). Through the proposed Phase I project, we aim at achieving the same stage of development for the beef application (currently at TRL6 – pilot line level), and to elaborate a business plan prior to undertaking the product development phase.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "GM-SCAN" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "GM-SCAN" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.2.3.1.;H2020-EU.3.2.)

QUALIGRAIN (2014)

Increasing grain quality through advanced oxidation treatment during storage

Read More  

DWAVE (2015)

Designing waves for the people

Read More  

EECHYMA (2015)

Eco-efficient high-yield production of antioxidant compounds from microalgae

Read More