Verázial•ID Match
Identifies people by their biometric data.
Verázial•ID Match
Identifies people by their biometric data.
Identification functionalities
- 1:N identification (one to all), of a live sample against all samples stored in the biometric database.
- 1:1 Verification (one to one), of a live sample against those stored of only a certain person.
- 1:n segmented identification (one to few) with biographical filters (for example: customers from the city of Valencia) and biometric sample subtype (for example: right ring finger, left eye).
Identification functionalities
- 1:N identification (one to all), of a live sample against all samples stored in the biometric database.
- 1:1 Verification (one to one), of a live sample against those stored of only a certain person.
- 1:n segmented identification (one to few) with biographical filters (for example: customers from the city of Valencia) and biometric sample subtype (for example: right ring finger, left eye).
Identification functionalities
- 1:N identification (one to all), of a live sample against all samples stored in the biometric database.
- 1:1 Verification (one to one), of a live sample against those stored of only a certain person.
- 1:n segmented identification (one to few) with biographical filters (for example: customers from the city of Valencia) and biometric sample subtype (for example: right ring finger, left eye).
Several samples for safer identification
- Simultaneous with sensors of several samples, or sequential with sensors of less samples. For example, 4 fingerprints are taken simultaneously on a 4-4-2 fingerprint sensor, and 4 sequential fingerprints are taken on a 1 fingerprint sensor.
- 1:N multisample identification. It allows greater security in large databases, matching only the subject of the database with which all the live samples match.
Several samples for safer identification
- Simultaneous with sensors of several samples, or sequential with sensors of less samples. For example, 4 fingerprints are taken simultaneously on a 4-4-2 fingerprint sensor, and 4 sequential fingerprints are taken on a 1 fingerprint sensor.
- 1:N multisample identification. It allows greater security in large databases, matching only the subject of the database with which all the live samples match.
Several samples for safer identification
- Simultaneous with sensors of several samples, or sequential with sensors of less samples. For example, 4 fingerprints are taken simultaneously on a 4-4-2 fingerprint sensor, and 4 sequential fingerprints are taken on a 1 fingerprint sensor.
- 1:N multisample identification. It allows greater security in large databases, matching only the subject of the database with which all the live samples match.
Available for Windows, web and Android
- Web application in widget format that is very easily integrated into an iFrame of any web software. For use in browsers on Windows and Android. With adjustable size and view modes.
- Library with the same features as the widget for easy integration into native Android applications.
- Windows desktop application, which integrates with an external system through a REST API.
Available for Windows, web and Android
- Web application in widget format that is very easily integrated into an iFrame of any web software. For use in browsers on Windows and Android. With adjustable size and view modes.
- Library with the same features as the widget for easy integration into native Android applications.
- Windows desktop application, which integrates with an external system through a REST API.
Available for Windows, web and Android
- Web application in widget format that is very easily integrated into an iFrame of any web software. For use in browsers on Windows and Android. With adjustable size and view modes.
- Library with the same features as the widget for easy integration into native Android applications.
- Windows desktop application, which integrates with an external system through a REST API.
