Introducing The SiteSee AI Audit Engine

January 15, 2021

Building and managing real world tower infrastructure is a difficult task.

Right now in 2019, auditing of real world tower infrastructure can be more of a guess than science. This is not meant to be unfair criticism of the industry workers but a reality of dealing with large, complex infrastructure. SiteSee has demonstrated the ability to perform accurate and reliable audits of cell tower infrastructure — without climbing.

The SiteSee AI Audit Engine is built to solve large scale infrastructure auditing problems of accuracy, reliability and scale-out.

How We Do It

The SiteSee AI Audit Engine combines several technologies to perform a seamless service. Firstly, Reality Modelling captures a precise 3D representation of the site. This is then processed through Machine Learning to identify and classify equipment. Finally, Computational Geometry analysis validates measurements and spatial relationships — all without a single climb.

01

Reality Modelling

Precise 3D capture of the site environment using drone photogrammetry.

02

Machine Learning

AI identifies, classifies and measures every piece of equipment.

03

Computational Geometry

Spatial analysis validates results with engineering-grade accuracy.