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Real-time 3D for monitoring of hazardous areas and events

Reference number
Coordinator I-CONIC Vision AB
Funding from Vinnova SEK 1 240 000
Project duration December 2020 - December 2021
Status Completed
Venture Drones
Call Drones for a safer society

Important results from the project

In the project, I-CONIC and Tyréns have collaborated in aim to establish secure ways of documenting risky areas, e.g. in the event of a landslide or risk of a landslide. The focus has been on fast real-time solutions based on images and video from drones in combination with image analysis and GPU processing in I-CONIC´s platform. With real-time 3D, hazardous areas can be analyzed immediately, drone flying can be optimized and the work process made much more efficient and safer. We expect that the same process can be used for many other user cases.

Expected long term effects

By using images from drones, we have seen that it is possible for geotechnicians and rock mechanics to be able to analyze areas even if they do not have the opportunity to physically visit the site. The drones can be their eyes and the 3D products can be used for measurement and interpretation. The result is that Tyréns can reduce physical presence in risky environments and reduce its need for travel. Another results is a prototype for real-time 3D that has been tested and evaluated by Tyréns. I-CONICs´s first release establishes georeferenced stereo image pairs and dense point clouds.

Approach and implementation

Tyréns has carried out field tests with drones on a real case, a landslide next to a road with a risk of further landslides. Data has been collected in different rounds during the year and the material has been used for tests and evaluation. Experiences from flight planning, data collection, processing into final products and analyzes by geotechnical experts have formed the basis for a set of requirements well rooted in real needs. Based on the requirements, I-CONIC has developed functions and tools in it´s software package for real-time 3D.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 11 March 2022

Reference number 2020-04572