DeepConcrete: real-time image processing and AI for mapping reinforced concrete
The project aims to develop methods for real-time image processing and artificial intelligence (AI) to map precast reinforced concrete elements from aerial imagery. This mapping serves the warehouse optimisation of BREMER SE and is an integral part of its digitalisation strategy to optimise the flow of goods and promote the long-term innovative capacity of the construction industry. DeepConcrete is being carried out by the Image Processing and Pattern Recognition, Sensor and Information Fusion working group headed by Prof Dr Volker Lohweg.
Presentation of the results at BREMER SE
During their visit to BREMER SE in Paderborn, inIT employees Anton Pfeifer, Jan Ehlenbröker and Robert Bakschik presented their research findings. In the brainstorming session that followed, the determination and ambition with which Bremer SE operates became clear. Research assistant Robert Bakschik summarised: "We are delighted that we have taken the first steps towards fully digitalised warehouse management together with Bremer SE."
You can find more information about DeepConcrete here:https://www.init-owl.de/forschung/projekte/detail/framework-fuer-die-kartierung-von-stahlbetonfertigteilen-aus-luftbildern-fuer-eine-intelligente-aussenlageroptimierung/