Civil engineering structures such as power plants, sewers, and bridges form essential components of the public infrastructure. It is mandatory to keep these structures in a safe and operational state. In order to ensure this, they are frequently inspected where the current recognition and documentation of defects and building components is mostly carried out manually. A failure of individual structures results in enormous costs. For example, the economic costs caused by the closure of a bridge due to congestion is many times the cost of the bridge itself and its maintenance.
Recent advancements in hardware and software offer great potential for increasing the quality, traceability, and efficiency of the structural inspection process. In particular, methods from the field of computer vision play an important role. The new techniques support the inspection engineer at the building site, raising quality and efficiency of the inspection. There is a high demand worldwide for the automation of structural inspections in the areas of building construction, bridge construction, tunnel construction, sewage plants, and other critical infrastructures.
In this talk Johannes will introduce the audience to visual defect recognition on buildings. Also highlighted will be the workshop at WACV 2024 and the hosted challenge, “dacl-challenge”.
Speaker: Johannes Flotzinger is a Civil Engineer and Research assistant at Universität der Bundeswehr München.
Dacl Challenge Links:
* dacl-challenge: [ Ссылка ]
* Workshop: [ Ссылка ]
* WACV 2024: [ Ссылка ]
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Recorded on Oct 12, 2023 at the Computer Vision Meetup.
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