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What is Pangiam veriScan?

Pangiam's veriScan is an exceptional facial recognition system that captures real-time images of guests and securely transmits them to a biometric matching service, enabling swift and efficient identity verification without complications. This cutting-edge technology significantly improves operational efficiency by providing quick and accurate authentication, effectively eliminating the reliance on traditional manual screening processes. Designed to integrate effortlessly with iPads and other iOS devices, it offers a range of flexible mounting options, including floor stands, desktops, and adjustable arms. Its capacity for immediate deployment allows for uninterrupted operations without the need for extensive setup, making it a practical choice for various environments. Moreover, the system can send images to multiple databases simultaneously, facilitating easy transitions between private and public data repositories both nationally and internationally. Key features include wireless connectivity through Wi-Fi or cellular networks, compatibility with diverse mobile and tablet devices, and adherence to government security regulations, ensuring a dependable and safe experience for users. Furthermore, the versatility of veriScan positions it as an ideal solution for numerous applications, thereby enhancing the overall effectiveness and speed of identity verification procedures. This adaptability enables organizations to efficiently manage identity checks in a wide range of settings, catering to the growing demand for reliable 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.

Media

Media

Integrations Supported

Azure Marketplace
Orange Logic OrangeDAM

Integrations Supported

Azure Marketplace
Orange Logic OrangeDAM

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Pangiam

Company Location

United States

Company Website

pangiam.com/veriscan/

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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