Project description
Using time lapse in construction
In construction, time-lapse videos are used to record months of work. The videos are used by building companies to document progress and ensure that contractors stay on schedule. As surveillance technology, time lapse videos provide a 24/7 around the clock record of progress that can be used to check activity and justify delays. As marketing tools, they can communicate the construction project to the wider public. Building on current time-lapse systems, the EU-funded EVERCAM project is using the power of machine learning to deliver an innovative intelligent vision system for improved communication and higher productivity in the under-digitalised industry of construction. The project will conduct a feasibility study that will result in the development of a strategic business plan.
Objective
Evercam seek to combine the power of Machine Learning with their extensive network of time-lapse cameras on construction sites to bring disruptive performance benefits to the construction industry. In this proposal, we explain the many ways in which data from construction cameras can impact this under-digitalised industry and why Evercam is in a uniquely strong position to deliver this innovation. With over 200 years of video recorded and a technical team who have already delivered a working vision analytics model, the time has come to bring this exciting technology to market. A feasibility study proposed here will result in the development of a strategic business plan for commercialisation.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- social scienceseconomics and businesseconomicsproduction economicsproductivity
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
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Programme(s)
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
D01 FW20 DUBLIN
Ireland
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.