The goalof the thesis is the development of a tool for supporting the documentation and progress controlof construction sites. Currently,thisis conducted mainly by man-ual meansand there is a demand for automated instruments. Furthermore,the con-struction industry needs to follow the trend of digitalization in order to increaseits productivity inthe future. The prototypewhich was developed in the scopeof this thesis consists of a camera system in the form of Rasperry Pis, a cloud infrastructure and a web application as user interface.It enables the determination of the positionof cam-eras and the tracking of marked objects on a construction site by using picture and sensory data. For this, a neuronal network analyzes the createdpicture data. The prototype was tested in a representative test. The results of the test show that the cloud infrastructure and the classification by the neural network work reliably and therefore the implemented functionalities could be performed successfully.For an industrially mature application, the gained sensor data should be optimized.     «

The goalof the thesis is the development of a tool for supporting the documentation and progress controlof construction sites. Currently,thisis conducted mainly by man-ual meansand there is a demand for automated instruments. Furthermore,the con-struction industry needs to follow the trend of digitalization in order to increaseits productivity inthe future. The prototypewhich was developed in the scopeof this thesis consists of a camera system in the form of Rasperry Pis, a cloud infr...     »