Dublin, 25 March 2020: The ADAPT Centre research team at Trinity College Dublin, led by Prof. Rozenn Dahyot, received The Enterprise Ireland Commercialisation Award to fund the development of their asset mapping and monitoring system, AIMapIT.
AIMapIT implements an AI solution for discovering, detecting, and GPS mapping stationary objects. By using street level imagery, from sources like Google Street view, the system can be trained to map and monitor assets, such as telegraph poles, lamp posts, traffic and road signs.
This can be especially useful for telecoms operators, utility companies, and state agencies whose infrastructure is distributed along roads and city streets, as they currently rely on manual methods to keep their databases updated. Assets like road signs or electrical poles are often spread out over a large geographic distance, which makes the data collection process time-consuming and open to human error. AIMapIT would be able to make this process automated and fully customisable to each project’s unique needs.
To learn more about the project, visit the website or contact via email for more information.
This project is supported by Enterprise Ireland (Commercial Fund CF-2019-1092-I and Feasibility CF-2017-0657-Y). The Commercialisation Fund Programme is co-funded by the European Union through the European Regional Development Fund 2014-2020 Programme.
Pictured (left to right) Dr. Vladimir Krylov (ADAPT, DCU), Deirdre Glenn (Director, Lifesciences & Food Commercialisation and Manager of Lifesciences Sector Market Department), Prof. Rozenn Dahyot (ADAPT, TCD), Julie Connelly (ADAPT, TCD).
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