Opendata, web and dolomites


High accuracy error detection in curved (prismatic) surfaces at high manufacturing speed

Total Cost €


EC-Contrib. €






 DEEPVIEW project word cloud

Explore the words cloud of the DEEPVIEW project. It provides you a very rough idea of what is the project "DEEPVIEW" about.

quality    energy    responsibility    recall    prismatic    human    detection    team    multidisciplinary    200    standards    25    designed    defect    braking    manufacturers    safety    heat    thought    cancellation    reflection    400    million    railway    bar    pressures    annually    oriented    accumulated    automobile    generation    defects    pilot    tubes    reputation    inspection    unforeseen    exchanger    tank    shape    transmission    tube    stringent    reaching    lt    tetralec    amount    spend    light    fluids    turbines    guarantee    leaking    gas    solution    none    valve    considering    accounts    limitations    components    finishing    market    units    001    eliminating    reflected    outages    orders    identification    risk    sealing    100    engine    machinery    innovative    industries    hardware    pump    lubrication    transport    nuclear    aircraft    mm    assemblies    security    thereby    millions    2015    cooling    automotive    staggered    accuracy    seriously    industry    technologies    tried    subsystems    visual    nowadays    supplying    alone    efficiency    95    hoses    detect    perfect    twice    critical    money    produces    demand    wind    gives    contains    carry   

Project "DEEPVIEW" data sheet

The following table provides information about the project.


Organization address
address: SEVERO OCHOA 80
postcode: 8403
website: n.a.

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 Spain [ES]
 Project website
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.2.1.5. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced manufacturing and processing)
2. H2020-EU.2.1.3. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced materials)
3. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
4. H2020-EU.2.1.2. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies – Nanotechnologies)
 Code Call H2020-SMEINST-1-2016-2017
 Funding Scheme SME-1
 Starting year 2017
 Duration (year-month-day) from 2017-01-01   to  2017-04-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

A tube is a prismatic component designed to carry fluids, used for a wide range of applications as cooling, lubrication, braking, and energy transmission systems. Are applied in several industries, from transport (automobile, railway, aircraft) to energy generation (wind, gas turbines, nuclear). In most cases these components are security elements. The sealing between the tube and other subsystems (valve, heat exchanger, pump, tank, engine…) might be critical when it contains fluids at high pressures (up to 200 bar). In this case, a perfect tube shape and finishing is required to avoid leaking in order to ensure product safety and system efficiency. Automobile industry is the largest tube consumer nowadays. In Europe alone, automotive industry produces over 400 million tubes annually. Leaking tube assemblies are a risk to product safety. Manufacturers take this responsibility seriously, for the great costs involved in product recall, orders cancellation and reputation. They spend a great amount of money in quality control through visual inspection. Industries with more stringent quality control standards carry on the inspection twice. Human-related approaches cannot guarantee unforeseen outages considering that production accounts millions of units. Other approaches have been tried, but none of them gives 100% accuracy. Our innovative solution is based in the reflection of light, reaching 95% accuracy. During 25 years, Tetralec has been supplying machinery for tubes and it has accumulated a great experience with the challenges related to defect detection. A multidisciplinary team has studied the available technologies and its limitations. In 2015, aimed thought a market-oriented demand, we have developed a novel defect identification pilot (hardware) based in staggered analysis of the reflected light for prismatic elements. Our system is able to detect defects <0.001 mm in hoses, eliminating the need of visual inspection, and thereby increasing product quality

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "DEEPVIEW" 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 ( 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 "DEEPVIEW" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.2.1.5.;H2020-EU.2.1.3.;H2020-EU.2.3.1.;H2020-EU.2.1.2.)


Super Productive Line Printing Inkjet

Read More  

HelpingHAND (2018)

A 3D printed, affordable myoelectrical prosthetic hand of personalizeable size for optimal comfort and functionality

Read More  

STAR (2018)

Safe, Transparent, Active and Reliable mineral sunscreen technology

Read More