Identity verification through advanced fingerprint capturing
Using the power of smartphones & machine learning
to capture and verify fingerprints
A touchless, smartphone-based identity solution
BIOCAPTURE turns a standard smartphone into a fingerprinting device for identity verification. BIOCAPTURE utilises standard smartphone cameras & machine learning to bring professional finger printing and identity verification to a new level. BIOCAPTURE is a mobile solution that can be used anywhere, at any time.
Our product is easy to use, scanning within 4-8 seconds. Our SDK (software development kit) solution is available on iOS and Android. BIOCAPTURE is easily customised, allowing for adoption to specific use-cases, workflows and requirements, making it one of the most powerful solutions on the market for identification, verification, enrollment, authentication and digital signature.
How It Works
/01
Scanning
BIOCAPTURE will scan for fingertips. The AI and machine learning automatically excludes objects that are not fingerprints.
/02
Detection and Verification of Prints
BIOCAPTURE instantly captures the presented fingerprints. With our built-in liveness detection you can then decide to save, enroll or verify the prints.
/03
Results
In law enforcement uses cases; prints are verified/identified against existing AFIS records. You can also save the prints for later processing or enroll them in an AFIS database (incl. identity data). For private company use case a user can use BIOCAPTURE verification to prove positive identity, which is then scanned across a barcode in your system to verify identity in a secure and private way.
Features
Vienna, Austria
BIOCAPTURE utilises standard smartphone cameras. It is a fully mobile and touchless solution. Therefore, there is no debris, or hygiene concerns. It is easy to use and saves costs on hardware, software and training.
Some notable features include:
Automatic ID-based calibration
Calibration can be performed using any standard ISO ID-1 card (national ID, credit card). This allows even more phone models to be used as capture devices.
Compatible & Agnostic
BIOCAPTURE is not restricted to proprietary components or specific setups; it is neutral towards existing infrastructures and components, allowing for flexible integration and compatibility.
Data Output Formats
WSQ, JPEG 2000, Custom Bitmap Format, NIST Type 14 output formats.
AFIS Integration
BIOCAPTURE has been tested against common FP matcher and AFIS databases. Support of 500 and 1000dpi output images (1000dpi depending on hardware performance and camera).
Supported Markets
Technical Requirements
Modest Requirements. Maximum Efficiency.
Android Smartphones:
-
Android 7.0 (API Level 24) or higher
-
4 Core CPU, ARM64-v8a (8 Core recommended)
-
Back camera
-
Flashlight
-
Auto-Focus capable
Apple iPhone:
-
iPhone 7 and newer