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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

A real-time automated alert system for watchlists that tracks persons of interest along with their historical contact data while ensuring the anonymity of innocent bystanders. This system also features a hands-free access control mechanism utilizing facial recognition technology to grant entry through secured points for authorized individuals, thereby enhancing safety from external threats. It allows seamless entry for those permitted to access a location, employing privacy-compliant and spoof-resistant facial recognition methods. By relying on facial recognition for authorization, the necessity to physically touch surfaces when entering restricted areas is completely eliminated. The software prevents congestion by rapidly recognizing individuals, ensuring swift identification. It can be deployed swiftly and integrates effortlessly with existing access control frameworks. Furthermore, it establishes enforceable digital barriers without the need for permanent installations and provides immediate notifications when unauthorized individuals are detected, enhancing overall security measures. This innovative approach not only streamlines access but also significantly bolsters safety protocols in various environments.

Description

Incorporate facial recognition technology into your applications for an enhanced and secure user experience without the need for specialized machine learning knowledge. The system offers features such as face detection that identifies faces and their characteristics within images; individual identification that allows for matching against a private database of up to one million users; emotion recognition that assesses various facial expressions such as happiness, sadness, and fear; as well as the ability to recognize and cluster similar faces in photographs. You can identify faces based on a variety of attributes and integrate this functionality into your applications with just a single API call. The technology can operate seamlessly either in the cloud or on edge devices within containers. With a focus on enterprise-level security and privacy, it ensures the protection of both your data and the trained models. This platform enables the detection, identification, and analysis of faces in both images and video content, providing a robust foundation for a multitude of applications. Additionally, it supports the detection of multiple human faces along with their associated attributes in a single instance.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Azure Marketplace No 
Orange Logic OrangeDAM No 

Integrations

Azure Marketplace Yes 
Orange Logic OrangeDAM Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0.01 per month
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Anyvision

Founded

2015

Country

Israel

Website

www.anyvision.co

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

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

Product Features

Computer Vision

Blob Detection & Analysis No 
Building Tools No 
Image Processing No 
Multiple Image Type Support No 
Reporting / Analytics Integration No 
Smart Camera Integration No 

Product Features

Emotion Recognition

Facial Emotions No 
Facial Expression Analysis No 
Machine Learning No 
Photo Emotions No 
Speech Emotions No 
Video Emotions No 
Written Text Emotions No 

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