Projektbeschreibung
Intelligente Baustellenbewertungsplattform
Bei der Instandhaltung und dem Bau von Infrastrukturen spielt der Bausektor eine wichtige Rolle. Fortschritte in den Bereichen Digitalisierung und künstliche Intelligenz (KI) haben in diesem Sektor eine erhöhte Nachfrage nach auf diesen Technologien beruhenden Lösungen entstehen lassen. Große Bauvorhaben bedeuten gegenwärtig neuartige Infrastruktur- und Bauprojekte, die viele Menschen und Institutionen betreffen. Leider ist ihre Größe nicht nur aufgrund von Kommunikations-, Management- und Logistikproblemen ein Nachteil. Das EU-finanzierte Projekt Datumate führt nun eine neuartige Infrastruktur-Software-as-a-Service-Dienstleistung ein, welche die meisten dieser Probleme lösen könnte. Dabei wird eine Drohne mit Bildgebungs- und Fotogrammetriesoftware das Bauwerk scannen und analysieren, während die Analyseplattform dazu dient, genaue Daten über den Bauzustand zu liefern.
Ziel
Large construction projects are difficult to manage with many different stakeholders involved and multiple sub-tasks and activities to be completed. As such, the management of these projects are unable to accurately keep track of the progress of each section and the budget and time can run significantly over. Many projects have a deadline and these delays can result in projects not being completed or failing before completion. Budgets can run out and cause suppliers to withhold materials or services until being paid, extenuating the problems experienced with the over complex supply chains. This has caused many infrastructure projects to be heavily delayed before construction is completed, leaving a wasted business opportunity. To prevent this fundamental problem, better management through improved data analytics for construction companies is required.
DatuBIM is an infrastructure software-as-a-service field data analytics cloud platform for construction infrastructure projects, which utilises a drone equipped with imaging and photogrammetry software for a solution that completely aligns a project’s time and budget, through advanced photogrammetry and computer vision algorithms. The solution utilises and expands on our drone-photogrammetry solution already developed for manual construction site surveying and inspections. The analytical platform includes it as part of the process and develop it into an end-to-end solution for improved infrastructure field info.
We have received $11M from investments and funding, with a total revenue of $700K in 2017, and annual balance sheet total of less than $2M. We reside in Israel and are part of a Deutsche Bahn accelerator. Currently we have 17 employees, with specialities in all areas necessary to reach commercialisation.
The proposed work in Phase 1 of the SME instrument fits into the overall plan to reach market by contributing the financial resources needed for a fast, sound & wider deployment of the solution.
Wissenschaftliches Gebiet
- natural sciencescomputer and information sciencessoftware
- natural sciencescomputer and information sciencesartificial intelligencecomputer vision
- social sciencessociologyindustrial relationsautomation
- social scienceseconomics and businessbusiness and managementbusiness models
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsdrones
Programm/Programme
Thema/Themen
Aufforderung zur Vorschlagseinreichung
Andere Projekte für diesen Aufruf anzeigenUnterauftrag
H2020-SMEInst-2018-2020-1
Finanzierungsplan
SME-1 - SME instrument phase 1Koordinator
20692 Yoqneam Illit
Israel
Die Organisation definierte sich zum Zeitpunkt der Unterzeichnung der Finanzhilfevereinbarung selbst als KMU (Kleine und mittlere Unternehmen).