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What is VeriLook SDK?
VeriLook SDK offers outstanding facial recognition features that are ideal for both independent and client-server biometric solutions. Emphasizing security, access control, and identity verification, it performs matching efficiently in both 1-to-1 and 1-to-many configurations with remarkable speed and accuracy. Its adherence to ISO 30103-7 standards for liveness detection effectively prevents spoofing, ensuring that authentic faces are differentiated from photographs.
The SDK can identify multiple faces at once, skillfully handling partially obscured faces, and can extract various attributes like age, gender, facial hair, eyewear, and emotional expressions. It works effectively with images taken in visible or near-infrared light, providing consistent accuracy even in changing lighting conditions and diverse head angles.
Developers can seamlessly integrate VeriLook using languages such as C/C++, C#, VB .NET, Java, or Python, across various operating systems like Windows, Linux, macOS, iOS, and Android. Throughout its impressive twenty-year journey of global implementation, VeriLook has proven to be a reliable and flexible solution for developers, enabling the creation of advanced biometric applications tailored to contemporary security demands. Its extensive track record further solidifies its standing as a preferred option in the realm of biometric technology, appealing to those seeking innovative and robust security solutions.
What is VeriEye SDK?
The VeriEye SDK delivers advanced iris recognition features suitable for both independent and client-server biometric applications, guaranteeing elevated security levels. Specifically crafted for developers and system integrators, it offers rapid and accurate matching, a performance validated by assessments from NIST IREX.
Employing a proprietary algorithm, it adeptly segments and recognizes irises, even in difficult scenarios like partial eyelid obstruction and fluctuating light conditions. Its adaptive shape modeling technology further ensures precise boundary detection, accommodating iris forms that may not conform to typical circular or elliptical shapes.
To combat spoofing attempts utilizing photographs or patterned contact lenses, the SDK integrates liveness detection capabilities. In addition, the automatic differentiation of left and right irises improves processing speed. Rigorous image quality evaluations guarantee that only the highest quality templates are retained, thereby enhancing the reliability of both 1-to-1 and 1-to-many matching processes. The SDK supports a variety of operating systems, such as Windows, Linux, macOS, iOS, and Android, and provides programming assistance in multiple languages, including C/C++, C#, VB .NET, Java, and Python, making it a versatile and powerful choice for modern biometric solutions. With the increasing demand for biometric security systems, the extensive features of VeriEye firmly establish it as a frontrunner in the industry. Its commitment to innovation and performance continues to set new standards in biometric technology.
Media
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Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
€339.00
Free Trial Offered?
Free Version
Pricing Information
€339.00
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Neurotechnology
Date Founded
1990
Company Location
Lithuania
Company Website
neurotechnology.com
Company Facts
Organization Name
Neurotechnology
Date Founded
1990
Company Location
Lithuania
Company Website
neurotechnology.com
