---
title: 3D Facial Scanning vs. Traditional Hardware Scanners: What's the Difference?
date: September 13, 2026
lang: en
source: https://kratos3d.com
---

# 3D Facial Scanning vs. Traditional Hardware Scanners: What's the Difference?

Smartphone-based 3D facial scanning explained: how it compares to hardware scanners like Vectra H2 and Artec on cost, accuracy, and clinic workflow.

**3D facial scanning** for surgical planning can be done two ways: with a dedicated hardware
 scanner installed in a clinic (such as Vectra H2 or Artec), or with a smartphone camera and AI-based
 reconstruction software (such as Kratos Surgery). Both produce a 3D model of the face; they differ in cost,
 portability, and where the scan can take place.

## How Does Hardware-Based Scanning Work?

 Hardware scanners use multiple synchronized cameras (stereophotogrammetry) or structured light, mounted in a
 fixed rig, to capture the face from several angles at once and reconstruct a 3D mesh. This produces high
 geometric accuracy but requires the patient to be physically present at a clinic that owns the equipment,
 and the equipment itself typically costs tens of thousands of dollars.

## How Does Smartphone-Based Scanning Work?

 Smartphone-based platforms capture a short video or a sequence of photos with a standard phone camera, then
 use AI photogrammetry to reconstruct a 3D mesh and texture. Kratos Surgery, for example, generates a
 clinical-grade scan in about 20 seconds of capture time and roughly 10 minutes of processing, with no
 additional hardware. The patient can do this before ever visiting the clinic.

## Which One Is More Accurate?

 Dedicated multi-camera hardware has traditionally set the accuracy benchmark for clinical 3D imaging.
 Modern AI-based smartphone reconstruction has narrowed this gap significantly for surgical planning use cases
 (angle measurement, symmetry analysis, before/after comparison). For rhinoplasty and facial aesthetic
 planning specifically, millimetric measurement accuracy from smartphone capture is now sufficient for
 pre-operative planning in published clinical validations.