Paper Airplane performs data analytics and predictive failure modeling from data collection utilizing UAVs. Paper Airplane uses various sensors, like photogrammetry, IR, thermal imaging, RGB and others attached to our UAVs to collect data which is then processed using proprietary algorithms to generate critical data for management of electrical infrastructure.

Through this data analysis, we can detect and analyze tower corrosion, corona failure, line sag, vegetation encroachment, asset identification and geolocation, thermal inspection and analysis, EMF and pole lean in the transmission and distribution network. Paper Airplane performs data analytics and predictive failure modeling from data collection utilizing UAVs.