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Description
The VeriEye SDK provides sophisticated iris recognition capabilities for both standalone and client-server biometric solutions, ensuring high levels of security. Designed specifically for developers and system integrators, it boasts quick and precise matching that has been confirmed through evaluations by NIST IREX.
Utilizing a proprietary algorithm, it effectively segments and identifies irises even in challenging conditions such as partial eyelid obstruction and varying light environments. Additionally, its adaptive shape modeling technology guarantees accurate boundary detection, accommodating iris shapes that may deviate from standard circles or ellipses.
To safeguard against spoofing attempts involving photos or patterned contact lenses, the SDK incorporates liveness detection features. Furthermore, the automatic separation of left and right irises enhances processing efficiency. Image quality assessments ensure that only top-tier templates are stored, thereby supporting reliable performance for both 1-to-1 and 1-to-many comparisons. The SDK is compatible with multiple operating systems, including Windows, Linux, macOS, iOS, and Android, and offers programming support in a range of languages such as C/C++, C#, VB .NET, Java, and Python, making it a versatile and robust solution for contemporary biometric applications. As the demand for biometric security solutions continues to grow, VeriEye's extensive capabilities position it as a leader in the field.
Description
VeriSpeak's voice identification technology is tailored for developers and integrators working within biometric systems. Its text-dependent speaker recognition algorithm enhances system security by verifying both the voice and the phrase's authenticity. The system allows for voiceprint templates to be matched in two modes: 1-to-1 for verification and 1-to-many for identification. Offered as a software development kit, it facilitates the creation of both stand-alone and network-based speaker recognition applications across Microsoft Windows, Linux, macOS, iOS, and Android platforms. The text-dependent algorithm is particularly effective in preventing unauthorized access by utilizing a user's voice that may have been covertly recorded. It employs two-factor authentication by confirming the authenticity of voice biometrics alongside a pass-phrase. Regular microphones and smartphones are perfectly adequate for capturing user voices, making it accessible for various applications. This multiplatform SDK supports a variety of programming languages, ensuring versatility in development. The solutions come at competitive prices, with flexible licensing options and complimentary customer support, making it an attractive choice for developers looking to implement secure voice recognition systems.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
MySQL
Oracle Cloud Infrastructure
PostgreSQL
SQLite
Pricing Details
€339.00
Free Trial
Free Version
Pricing Details
€339 one-time payment
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Neurotechnology
Founded
1990
Country
Lithuania
Website
neurotechnology.com
Vendor Details
Company Name
NEUROtechnology
Country
Lithuania
Website
www.neurotechnology.com/verispeak.html