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What is Rohos Face Logon?

The software is designed to significantly improve the standard Windows login process by making it more intuitive and enhancing security protocols. It allows users to access their Windows systems swiftly and securely using any compatible camera, automatically logging them in once their face is recognized. Utilizing cutting-edge neural network technology, Rohos Face Logon provides ongoing biometric verification for user identification, enabling not just automatic logins but also desktop access upon successful facial recognition. Its self-training capability reduces the likelihood of recognition mistakes, ensuring a smoother experience. Users can also choose to use a USB flash drive as a key for their computer or laptop, enhancing the versatility of the authentication methods. The software permits the combination of facial recognition with USB devices for authentication or allows them to function separately. Additionally, it accommodates multiple users, enabling the registration of various faces for different accounts. All facial data is stored securely, and users have the ability to delete any entries that do not meet their expectations. This innovative login security method guarantees a seamless and customized experience for each individual user while also prioritizing their safety. Ultimately, this advancement in technology not only streamlines the login process but also reflects a commitment to enhancing digital security in everyday use.

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.

Media

Media

Integrations Supported

Azure Marketplace
FastSpring
Orange Logic OrangeDAM

Integrations Supported

Azure Marketplace
FastSpring
Orange Logic OrangeDAM

API Availability

Has API

API Availability

Has API

Pricing Information

$11.90 one-time payment
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

Rohos

Date Founded

2005

Company Location

Moldova

Company Website

www.rohos.com/products/rohos-face-logon/

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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