This algorithm uses drone metadata and neural network classification to detect and geolocate components at the tops of distribution poles.

This new branch of analysis involves performing specific health analysis of different components at the tops of poles and towers.

This algorithm uses spectral classification to determine if a transmission tower has significant surface corrosion.

Line sag is the measurement of the lowest point of each line over the terrain. Manifold can make sag assessments with a single georeferenced image.

This algorithm detects if vegetation has grown inside the right of way of the transmission line corridor.

Vegetation health is assessed by Manifold using airborne or spaceborne imagery to determine if trees represent a fall risk for nearby power lines.

This inspection element detects the number of lines on a given pole or tower to assist in accurate accounting.

Pole lean inspection uses progressive looks at a distribution pole to determine its lean from plumb.

Components are captured with midwave and longwave imagers to detect hotspots on equipment.

Thermal and visual analysis are used to determine if powerline contain significant ice accumulation

This algorithm inspects towers and poles for active bird nests to mitigate environmental concerns.

Woodpecker hole assessment uses visual imaging of a pole to determine if damage to a wooden pole has occurred.

PDF reports can be auto generated from results base on analysis.