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NG911 Indoor Mapping Data for 911 Authorities and PSAPs

Digital Twin Imaging produces indoor mapping data from LiDAR scans of building interiors, formatted for integration into Next Generation 911 dispatch basemaps and computer-aided dispatch systems. Deliverables are structured to align with NENA data standards and to the layer specifications of the receiving 911 system, so telecommunicators see interior detail in the same map they already use.

Why a street address isn't enough

NG911 systems route calls and validate locations using GIS data. That machinery works well at the parcel and street level, and stops at the front door.

When a call comes from inside a large facility — a high school, an arena, a hospital, a campus building — the dispatchable location a telecommunicator can pass to responders is often just a street address. Responders arrive at a building they have never been inside, with no floor, no room, no interior route, and no idea which of eleven exterior doors is closest to the caller.

FCC dispatchable location requirements under RAY BAUM'S Act pushed the industry toward delivering floor and room level detail with 911 calls. Delivering that detail requires the interior to have been mapped first, in a form the 911 system can actually consume.

What we capture and what you receive

DTI scans building interiors using terrestrial and aerial LiDAR, producing a dimensionally accurate point cloud of the structure as it currently exists — not as it was drawn.From that capture, we produce:

Interior GIS layers — building footprints, floor polygons, interior space polygons, room and space identifiers, and site/structure address points with subaddress detail CAD and DXF floor plans with layer structures matched to your dispatch system's ingest specification

Door, stairwell, and vertical circulation data including exterior door identifiers, stairwell continuity across floors, and elevator locations

Site features relevant to response — hydrants, standpipe and FDC connections, utility shutoffs, AED locations, roof access, and shelter locations, where present and requested

The underlying 3D digital twin, retained and reusable for responder training, preplanning, and facilities use without rescanning

Attribution follows the NENA NG9-1-1 GIS Data Model (NENA-STA-006) and CLDXF (NENA-STA-004) for civic address representation, so data can be validated against your authority's existing GIS rather than living in a parallel silo.

Wayfinding and Room Clearing

The same capture that produces your dispatch data also supports interactive response tools built into the model.

Wayfinding. Responders navigate the interior of a building they may never have entered, following routes through the actual structure rather than interpreting a floor plan under pressure.

Room clearing. Rooms can be marked as cleared within the model, giving a running visual record of progress through the building.

These capabilities are operational in DTI's portal and have been demonstrated with responder agencies. Multi-user shared-session deployment and integration into live PSAP workflows are in development, and DTI is seeking 911 authority partners for pilot programs.

A scan is not a virtual tour

Photographic virtual tours are useful for orientation, and they are not dispatch data. A tour is imagery; a dispatch basemap needs geometry with attributes.

The distinction matters operationally. Tour imagery cannot be validated against an LVF, cannot generate subaddress points, cannot be attributed to a NENA schema, and cannot be exported to the GIS your PSAP already runs. LiDAR capture produces measurable geometry that can do all four — and can still generate a navigable visual walkthrough as a byproduct.

Integration with existing dispatch systems

We work to the receiving system's specification rather than asking the 911 authority to adapt to ours. Before capture begins, we confirm the target layer naming convention, coordinate reference system, georeferencing requirements, and attribution schema with your GIS coordinator or your dispatch vendor.

Deliverables are produced in the formats dispatch systems ingest, including vectorized CAD and DXF floor plans and GIS feature layers attributed to the NENA NG9-1-1 GIS Data Model. Where a 911 authority has an existing vendor relationship, we coordinate directly with that vendor on format and delivery.

Who we work with

911 authorities and PSAPs, state 911 coordinators and boards, county emergency management, regional dispatch centers, and public safety GIS coordinators.

Metaverse Imaging Inc. (d/b/a Digital Twin Imaging) is based in Sioux Falls, South Dakota, with past performance in South Dakota, Minnesota, Iowa, Missouri, Utah, Nevada, and Ohio. We hold GSA Multiple Award Schedule contract 47QRAA25D008M under SIN 54151S, and our capture and modeling technology is protected by U.S. Patent 12,442,641 B1.

What is NG911 indoor mapping data?

NG911 indoor mapping data is geospatial data describing the interior of a building — floors, rooms, doors, stairwells, and interior routes — structured so a Next Generation 911 system can display it in the dispatch map and use it to generate dispatchable locations below the street-address level.

What format does a PSAP need indoor mapping data in?

It depends on the dispatch system. Most commonly, GIS feature layers attributed to the NENA NG9-1-1 GIS Data Model, or CAD and DXF files with a defined layer structure the system can ingest. DTI confirms the target specification with the 911 authority or dispatch vendor before capture rather than delivering a generic file set.

Can existing floor plans be used instead of scanning?

Sometimes, and usually not well. Architectural drawings show design intent rather than current condition, and buildings drift — walls move, rooms get renumbered, additions get built. Scanning captures the building as it stands today and produces a verified baseline. Where good current drawings exist, they can reduce scan time and help validate the result.

How long does the data stay current?

Until the building changes. Interior modifications, renovations, and room renumbering all create drift. Most facilities benefit from rescanning after significant renovation, and from a lightweight update process for room-level changes in between.

Who owns the data?

The contracting agency owns its building data. Ownership, retention, access control, and redistribution rights are defined in writing before capture.

Is a scanned building a security risk?

The data is sensitive and is handled accordingly. Access is controlled through enterprise identity management with single sign-on, multi-factor authentication, and role-based permissions, so each agency and each role sees only what it is authorized to see. Data is encrypted in transit and at rest, and is never published or sold.The contracting agency owns its data. Retention, access, redistribution, and deletion terms are defined in writing before capture.DTI is currently undergoing SOC 2 assessment and has engaged a compliance firm to prepare for FedRAMP Moderate authorization.