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Ratings and Reviews 0 Ratings
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What is Biometric Vision?
Organizations, developers, and system integrators can effortlessly elevate the functionality of their facial recognition applications while safeguarding their customers' privacy. By quickly incorporating Biometric Vision's cutting-edge AI-driven algorithm, you can dramatically enhance the accuracy, speed, and overall efficiency of your facial recognition systems, achieving an outstanding 99.99% accuracy even under the most demanding conditions. Our technology boasts a minimal error rate of just 0.006%, validated against a million ethically sourced facial images, which highlights its exceptional performance. We employ AES-256+ end-to-end encryption and a distinctive method for storing facial templates as anonymous alphanumeric codes to ensure that they are non-reversible and secure. Our primary goal is to provide outstanding facial recognition algorithms, allowing access to our 1:1 and 1:N recognition systems. Designed to maximize connectivity, our APIs are cloud-hosted and can adapt seamlessly to any environment, whether it be physical or virtual. This API not only encourages innovation but also opens doors for scaling and simplifies monetization strategies effectively. When you choose to work with us, you align yourself with a pioneering leader in facial recognition technology that places a strong emphasis on both performance and privacy, creating a robust foundation for your projects. This commitment to excellence ensures that your applications not only meet but exceed industry standards.
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.
Integrations Supported
Azure Marketplace
Orange Logic OrangeDAM
SoftwareLinkers School Management Software
eConsult
Integrations Supported
Azure Marketplace
Orange Logic OrangeDAM
SoftwareLinkers School Management Software
eConsult
API Availability
Has API
API Availability
Has API
Pricing Information
$29 per month
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
Biometric Vision
Date Founded
2019
Company Location
Australia
Company Website
biometricvision.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