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Institut
At the integration sprint of the E-DRZ consortium in march 2023 we improve the information captured by the human spotter (of the fire brigade) by extending him through a 360° drone i.e. the DJI Avata with an Insta360 on top of it. The UAV needs 3 minutes to capture the outdoor scenario and the hall from inside and outside. The hall ist about 70 x 20 meters. When the drone is landed we have all information in 360° degree at 5.7k as you can see it in the video. Furthermore it is a perfect documentation of the deployment scenario. In the next video we will show how to spatial localize the 360° video and how to generate a 3D point cloud from it.
At the integration sprint of the E-DRZ consortium in march 2023 we improve the information captured by the human spotter (of the fire brigade) by extending him through a 360° drone. The UAV needs 3 minutes to capture the outdoor scenario and the hall from inside and outside. The hall ist about 70 x 20 meters. When the drone is landed we have all information in 360° degree at 5.7k as you can see it in the video. Furthermore it is a perfect documentation of the deployment scenario. In the next video we will show how to spatial localize the 360° video and how to generate a 3D point cloud from it.
The dataset is used for 3D environment modeling, i.e. for the generation of dense 3D point clouds and 3D models with PatchMatch algorithm and neural networks. Difficult for the modeling algorithm are the reflections of rain, water and snow, as well as windows and vehicle surface. In addition, lighting conditions are constantly changing.
Background: Priority during the SARS-CoV2 pandemic is that employees need to be protected from infection risks and business activities need to be ensured. New virus variants with increased infection risks require an evolved risk strategy.
Material and methods: Several standard measures such as testing, isolation and quarantine are com-bined to a novel risk strategy. Epidemiological model calculations and scientific knowledge about the course of SARS-CoV2 infectivity are used to optimize this strategy. The procedure is implemented in an easy-to-use calculator based on Excel.
Layout in practice and results: Alternative combinations of measures and practical aspects are dis-cussed. Example calculations are used to demonstrate the effect of the discussed measures.
Conclusion: That quarantine calculator derived from these principles enables even non-specialists to perform a differentiated risk analysis and to introduce optimized measures. Targeted testing routines and alternative measures ensure staff availability.
Hintergrund
Während der SARS-CoV-2-Pandemie ist es vorrangig, die Mitarbeiter vor Infektionsrisiken zu schützen und die Geschäftstätigkeit zu sichern. Neue Virusvarianten mit erhöhter Ansteckungsgefahr erfordern eine weiterentwickelte Risikostrategie.
Material und Methoden
Mehrere Standardmaßnahmen wie Tests, Isolierung und Quarantäne werden zu einer neuartigen Risikostrategie kombiniert. Epidemiologische Modellrechnungen und wissenschaftliche Erkenntnisse über den Verlauf der SARS-CoV-2-Infektiosität werden zur Optimierung dieser Strategie herangezogen. Das Verfahren ist in einem einfach zu bedienenden Rechner auf Excel-Basis implementiert.
Aufbau in der Praxis und Ergebnisse
Alternative Maßnahmenkombinationen und praktische Aspekte werden erörtert. Anhand von Beispielrechnungen wird die Wirkung der diskutierten Maßnahmen demonstriert.
Schlussfolgerung
Der aus diesen Grundlagen abgeleitete Quarantäne-Rechner ermöglicht es auch Nicht-Fachleuten, eine differenzierte Risikoanalyse durchzuführen und optimierte Maßnahmen einzuleiten. Gezielte Prüfroutinen und alternative Maßnahmen sichern die Personalverfügbarkeit.