Solution | Service
Autonomous data collection and analytics solution to identify defects on buildings’ exterior façade
The main objective is to automate the entire data collection and data analysis process associated with high-rise building façade inspection, whilst also removing the need for heavy equipment.
With a drone, a pilot, and a proprietary AI-Engine, H3Zoom.Ai is able to collect thousands of high-quality images of building façades, carry out image processing algorithms, identify defects on façade surfaces, and present the data insights in 2D and 3D models of the inspected buildings. The pilot is assisted by the proprietary Flight Path Optimization Algorithm. This solution will ultimately facilitate maintenance of large real estate portfolios, by reducing the duration and cost of current facade inspection process, removing the need for heavy and high-carbon emitting machinery, reducing risk to workers and reducing inaccuracies associated with human assessment.
The information set out above, is solely for the purposes of information and the Solar Impulse Foundation does not provide any guarantee as to its authenticity, completeness or accuracy. This information does not constitute investment advice or a recommendation to buy into, transact or to enter into any agreement with any of the parties or persons mentioned above. Potential investors or interested parties are solely responsible for their investment or business decisions and for performing any due diligence required by the circumstances.
Brazil, United States, Canada, South Korea, Japan, Thailand, Singapore, United Arab Emirates, United Kingdom, Italy, Spain, Netherlands, Monaco, France, Germany, Belgium, Austria, New Zealand, Australia,
Solutions helps to achieve these SDG's.
Sustainable cities and communities
Facilities Managers seeking to automate the façade inspection process. Inspection companies and drone operators looking to offer a innovative solution.
Categories of application
Building information modelling, Building automation, Smart-building,