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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 Azure Face API?

Incorporate facial recognition technology into your applications to create a user-friendly and secure interface without requiring deep expertise in machine learning. This innovative solution offers capabilities such as face detection, which recognizes faces and their features in images, and individual identification from a personal database accommodating up to one million users. It also includes emotion recognition to interpret various facial expressions like happiness, anger, and fear, and the capacity to identify and group similar faces. You can perform face identification based on diverse traits and seamlessly implement facial recognition with just a single API request, whether utilizing cloud services or local containers. Emphasizing enterprise-grade security and privacy protocols, this technology enables the detection, identification, and analysis of faces in both images and videos, opening doors to a variety of groundbreaking applications. Furthermore, it allows for the simultaneous detection of multiple human faces and their respective attributes, significantly enhancing the user experience and broadening the scope of potential uses. With these advanced features, developers can create more interactive and responsive applications tailored to user needs.

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Integrations Supported

Azure Marketplace
Orange Logic OrangeDAM

Integrations Supported

Azure Marketplace
Orange Logic OrangeDAM

API Availability

Has API

API Availability

Has API

Pricing Information

€339.00
Free Trial Offered?
Free Version

Pricing Information

$0.01 per month
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

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/cognitive-services/face/#features

Categories and Features

Categories and Features

Emotion Recognition

Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions

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