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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
API Access
Has API
Integrations
Azure Marketplace
Orange Logic OrangeDAM
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$0.01 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
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
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration
Product Features
Emotion Recognition
Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions