Summary
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.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/889670 |
| Start date: | 01-01-2020 |
| End date: | 30-06-2020 |
| Total budget - Public funding: | 71 429,00 Euro - 50 000,00 Euro |
Cordis data
Original description
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.Status
CLOSEDCall topic
EIC-SMEInst-2018-2020Update Date
27-10-2022
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