Project description DEENESFRITPL A better way to search properties online Most homebuyers today begin their property search online. While online real estate platforms are popular, most sites contain photographs that are manually tagged and often missing descriptions. There is a growing need for online portals to keep up with the digitally savvy clientele. In this context, the EU-funded CV4RE project proposes a computer vision application programme interface that scans real estate images and automatically returns, in real time, tags that classify the scene of the image. It can identify, tag and describe properties in the same way a real estate agent would. Benefits of using the CV4RE interface are improved site search, visual comparison of listings, and optimisation of thumbnails. Show the project objective Hide the project objective 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 2016CV4RE 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. Fields of science natural sciencescomputer and information sciencesinternetnatural sciencescomputer and information sciencesartificial intelligencecomputer visionsocial scienceseconomics and businessbusiness and managementbusiness models Programme(s) H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs Main Programme H2020-EU.3. - PRIORITY 'Societal challenges H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies Topic(s) EIC-SMEInst-2018-2020 - SME instrument Call for proposal H2020-EIC-SMEInst-2018-2020 See other projects for this call Sub call H2020-SMEInst-2018-2020-2 Funding Scheme SME-2 - SME instrument phase 2 Coordinator Mercurio Platform SL Net EU contribution € 1 186 957,63 Address CL DOCTOR AUGUET CANONGE 85 P3 PTA2 08840 BARCELONA Spain 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 Este Cataluña Barcelona Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Links Contact the organisation Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 1 695 653,75
