Project description
A smart construction-site assessment platform
The construction sector plays a vital role in infrastructure maintenance and construction. Advancements in digitalisation and artificial intelligence (AI) have seen this sector show increased demand for solutions based on these technologies. Large construction projects currently develop novel infrastructure and construction projects, which affect many people and institutions. Unfortunately, their size is beyond a necessity posing a disadvantage due to communication, management, and logistics problems. The EU-funded Datumate project is introducing a novel infrastructure software-as-a-service that could address most of these issues. Specifically, a drone with imaging and photogrammetry software will scan and analyse the construction while using the analytical platform to offer accurate data for the construction state.
Objective
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.
Fields of science
- 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
Programme(s)
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
20692 Yoqneam Illit
Israel
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.