Diva will develop a solution for identifying the state of a real estate. The identification process will be based on computer vision techniques, available property data, known building materials, techniques and knowledge, risk models and AI processing. Main R&D challenges are; - How to update the current building knowledge to the digital specifications? - How to expand the current AI capacities to the technical specifications? - How to support decisions for preventive and mitigating measures? - How to create insights, identify and verify the relevance of new business models derived from the new insights created? The project result will create a whole new digitized foundation for new business, products and services in the value chain of real estates, as it will make available a comprehensive library of building materials, with damage attributes and prioritized mitigation or preventive actions. This will be used for automating appraisals, for initiating preventing actions against e.g. flooding, water leakage or mould, or for detecting abnormalities in the real estate.
Project leader: Gian Kolbjørnsen
Institution: WENN AS