Assess the condition of rooftops and identify areas of damage or deterioration
Identify and classify different rooftop materials
Assess the risks associated with natural disasters
Rooftop inspections
By using machine learning algorithms, FlyPix AI, can conduct aerial roof inspections and help building owners, property managers, and insurance companies assess the condition of rooftops and identify areas of damage or deterioration. FlyPix AI does this by analyzing high-resolution aerial images taken from drones or satellites for specific patterns and characteristics that correspond to roof damage, such as cracks, missing tiles, or pooling of water. By detecting and mapping the areas of damage, the system can provide insights into roof conditions, allowing property managers and insurance companies to prioritise repairs and allocate resources more effectively. This can significantly improve the efficiency of rooftop inspections and cover large areas faster than traditional ground-level inspections.
FlyPix AI can also be used to identify and classify rooftop materials, such as shingles, tiles, and metal roofing, providing valuable data for building design, construction, and maintenance.
Household risk assessment
FlyPix AI can help homeowners, insurance companies, and emergency responders assess the risks associated with natural disasters such as floods, wildfires, and hurricanes. Our software is able to conduct household risk assessments by analyzing high-resolution aerial imagery for specific patterns and characteristics that correspond to household risks, such as proximity to trees or flooding areas. By detecting and mapping the areas of risk, FlyPix AI can provide insights into the potential impact of natural disasters on individual households, allowing insurance companies to take proactive measures to mitigate risk and minimize damage.