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What is Invisible AI?

Sufficient storage is essential for keeping video recordings locally for over a month, with a strong emphasis on safeguarding data. The training of AI models requires only a limited number of samples, allowing for swift deployment within minutes. Additionally, the system offers real-time analytics that are crucial for various stakeholders involved. Cybersecurity protocols are enforced at the edge, ensuring that protection is maintained within the factory's firewall. Worker privacy is a priority, featuring options such as face blurring when necessary. Importantly, the system does not utilize facial recognition technology at all. The solution is designed to scale across multiple factories without demanding extensive infrastructure changes. It is straightforward to manage and can be integrated seamlessly with various existing enterprise software platforms. Our goal is to provide human-centered solutions that improve working conditions while upholding worker privacy. We maintain a strict policy against the use of facial recognition, concentrating exclusively on aggregated metrics. With just one click, operators' faces can be blurred, ensuring that the performance of AI remains uncompromised, which ultimately enhances both security and privacy. This comprehensive strategy not only adheres to compliance standards but also promotes a safer workplace environment, reflecting our dedication to innovation and responsibility in technology. By prioritizing these values, we aim to create a more accountable and transparent system for all users.

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

Amazon Web Services (AWS)
Google Cloud Platform
Microsoft Azure
Microsoft Entra ID

Integrations Supported

Azure Marketplace
Orange Logic OrangeDAM

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$0.01 per month
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Online Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Invisible AI

Date Founded

2018

Company Location

United States

Company Website

www.invisible.ai/product

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

AI Manufacturing

Not specified

Computer Vision

Not specified

Manufacturing

Not specified

Categories and Features

Emotion Recognition

Not specified

Facial Recognition

Not specified

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