D2.5 – Safety-critical situation detection

descriptionPublicationkeyboard_double_arrow_right Project deliverable , Other literature type 28 Feb 2022 English Publisher:ZenodoFunded by:EC | BIMprove

Authors: Purhonen, Anu; Aihkisalo, Tommi; Niskanen, Ilkka;

doi: 10.5281/zenodo.7417577 , 10.5281/zenodo.6319559 , 10.5281/zenodo.6319558

D2.5 – Safety-critical situation detection

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Abstract

This deliverable describes how to use the Risk Object Visual Analysis System (ROVAS) for automatic detection of safety measures, especially safety nets, from photographs taken at construction sites. Furthermore, it describes the Risk and Image Data Management Service that has been used to store and provide access to the data created by the ROVAS model. The document contains the links to the developed software and model.

Keywords

Safety measures, computer vision, convolutional neural network, YOLO

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