Contactless is the future. But which contactless?
Contactless fingerprint capture is quickly replacing contact-based methods — it’s more hygienic, more secure against latent-print risks, faster in high-throughput settings like borders and airports, and far kinder to hardware. As smartphone apps make contactless capture feel accessible to anyone with a camera, an obvious question follows: can a phone really stand in for a dedicated scanner? To answer it, CFS flats was tested against a leading smartphone app on both an Android and an iPhone, with 20 subjects, each finger captured on every device — and benchmarked against an FBI-certified contact-based scanner as the reference.
The results were decisive.
CFS flats delivered more consistent captures than either smartphone (intraoperability) and matched more reliably against contact-based 2D databases (interoperability) — the measure that actually determines whether a contactless print is usable in real-world identity systems. On both counts, CFS flats outperformed the smartphone apps and, in repeatability, even edged out the contact-based scanner itself. Notably, the Android phone beat the iPhone, which tells its own story: a smartphone app’s accuracy is hostage to the camera hardware it happens to run on.
The reason comes down to what each device actually captures.
A smartphone takes a flat 2D photo, inheriting four unavoidable problems — scaling errors (no fixed reference for finger size), perspective distortion, polarity inversion (ridges and valleys swapping brightness), and image quality that depends entirely on the phone’s optics. CFS flats instead performs a true 3D structured-light scan: eight million data points per capture at micron-level depth resolution, stable across wet or dry skin and any skin tone, then unwrapped into a standard 2D image for database compatibility. It’s contactless capture built for identity-grade accuracy — not a photo hoping to pass as one.
