4D-360-AI

What is a survey-grade digital twin — and how a 360° drive-by makes one affordable

A digital twin is a 3D model of something physical. A survey-grade digital twin adds two things most “3D models” lack: it is metric (every point carries a real-world coordinate, so you can measure it) and it is georeferenced (it lines up with your GIS basemap, not just an arbitrary local frame). That combination is what turns a pretty 3D scene into an authoritative source of truth for infrastructure.

Why it has been expensive — until now

Traditionally, survey-grade 3D meant mobile LiDAR: a dedicated vehicle carrying a laser scanner and an inertial unit, often costing hundreds of thousands of dollars, followed by days of manual processing. The data is excellent, but the price and turnaround keep most organizations from capturing often enough to stay current.

4D-360 takes a different path. Mount a 360° camera and a multi-band GPS on any vehicle, drive the route once, and the footage is reconstructed photogrammetrically into a dense, metric point cloud and a navigable, photoreal scene — at roadside point spacing comparable to mobile LiDAR, for a fraction of the hardware cost. Because the deliverable streams in the browser, there are no proprietary readers and no egress fees.

From pixels to a GIS-ready inventory

A measurable cloud is only half the value. 4D-360’s AI feature extraction detects roadside assets — poles, conductors, signs, lights, manholes, vegetation — across the full 360° field of view, deduplicates the 30+ views of each object into a single record, and writes them into your GIS as typed, attributed features (class, condition, dimensions, lat/lon/alt). Drive the route again next month and you get automatic change detection against the last capture, with ready-to-dispatch work orders for anything that moved.

Who uses it

The point of a survey-grade digital twin is that one drive replaces dozens of site visits, and your GIS stays the single system of record. See it in action →