Opendata, web and dolomites

CV4RE SIGNED

Computer vision with an eye For Real Estate

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 CV4RE project word cloud

Explore the words cloud of the CV4RE project. It provides you a very rough idea of what is the project "CV4RE" about.

rely    time    offers    internet    tam    buyers    bypass    direct    maximum    living    obtaining    platforms    period    estate    savvy    corporations    2016    homes    perceived    confidence    customers    automatically    floors    5m    computer    revolutionize    optimize    compare    2012    scene    allocations    267m    class    online    site    digitally    clients    returns    monetize    troublesome    competitive    home    portals    visual    rising    conversion    vision    charge    speed    16    business    flat    describes    88m    worst    classify    risk    manually    independent    141    photographs    listings    furnishing    tagged    capital    rates    api    thumbnails    hardwood    som    fee    ai    images    gives    doubled    venture    sam    platform    seo    271b    advantages    tags    organize    innovative    restb    physically    companies    2024    137m    logos    room    realistic    scans    model    accessibility    renters    adapt    paas    decision    benefits    completely    1200    shifts    identifies    accuracy    descriptions    boost    tectonic    agents    websites    recommend    service    search    obsolete    missing    easily    consumers    falling    global    scores    image    fireplace    99    processed    cv4re    21b    realtech    crm    anonymity   

Project "CV4RE" data sheet

The following table provides information about the project.

Coordinator
Mercurio Platform SL 

Organization address
address: CL DOCTOR AUGUET CANONGE 85 P3 PTA2
city: BARCELONA
postcode: 8840
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 https://restb.ai/
 Total cost 1˙695˙653 €
 EC max contribution 1˙186˙957 € (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 2018
 Duration (year-month-day) from 2018-09-01   to  2020-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    Mercurio Platform SL ES (BARCELONA) coordinator 1˙186˙957.00

Map

 Project objective

Online real estate platforms are particularly at risk of falling behind the requirements of digitally savvy clients. Real estate portals rely on photographs of properties with manually tagged & often missing descriptions that make it troublesome for consumers to quickly research, compare & come to a decision about which properties they want to physically investigate. Online portals that do not adapt to the tectonic shifts in Consumer Attention risk internet anonymity at best &, at worst, of being perceived as so obsolete that buyers & renters completely bypass their websites. Restb.ai offers CV4RE, a computer vision API that scans real estate images and automatically returns, in real time, tags that classify the scene of the image (e.g. living room) and what features of interest are in this image (e.g. fireplace, hardwood floors). CV4RE identifies, tags, and describes properties, in the same way real estate agents would, obtaining very high confidence scores. Our Customers are online real estate portals, real estate CRM companies, independent real estate agents and home furnishing corporations. Our technology gives them the following benefits: Boost SEO, revolutionize site search, easily recommend similar homes, organize the images, enable visual comparison of listings, optimize thumbnails, improve conversion rates, improve site accessibility and monetize logos. Our competitive advantages are Real estate-specific tags, best-in-class accuracy (99%) and real time speed. The global capital allocations to direct real estate have doubled, rising from €141 B in 2012 to €271B in 2016. Over the same period venture capital funding into RealTech companies increased 1200% from €88M in 2012 to €2.21B in 2016 CV4RE has a TAM of €267M, SAM of €137M & SOM of €16.5M by 2024. Restb.ai has a realistic & innovative business model PaaS (Platform as a Service), where we charge a flat fee for a maximum of processed images per month.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "CV4RE" 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 "CV4RE" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.;H2020-EU.2.3.;H2020-EU.2.1.)

DNA DS (2019)

DNA Data storage

Read More  

ERGOVIAkinematix (2018)

New wearable measurement devices for Industry 4.0 based on gaming motion-capture system

Read More  

LiCrete (2018)

LiCrete - Light transmitting composite material for building purposes

Read More