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What is SAFR?

Boost your situational awareness through state-of-the-art facial recognition and sophisticated computer vision capabilities tailored to individuals and their identities. SAFR provides essential insights designed to enhance the safety and well-being of people in a variety of settings. Engineered as a fully independent networked solution, SAFR SCAN is ideal for small and medium-sized businesses (SMBs) as well as larger corporations, delivering superior biometric performance without exorbitant costs. With its rapid and efficient processing capabilities, it can verify the identities of up to 30 individuals per minute, making it an excellent fit for bustling environments such as office building lobbies, professional workspaces, and secure access points for employees. To uphold personal privacy, all biometric information gathered during the enrollment and scanning process is securely encrypted, ensuring that no visual depictions of individuals' faces are retained. This dedication to privacy not only safeguards personal identities but also reduces potential legal risks associated with emerging privacy protection laws. Additionally, the system instills confidence in organizations, enabling them to execute robust security protocols while still respecting the privacy of their clients, ultimately creating a safer and more secure atmosphere for all. Organizations can thus focus on their core missions, knowing that the safety of individuals is being managed effectively.

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.

Media

Media

Integrations Supported

Entry2Exit
Genetec Synergis

Integrations Supported

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

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Online Training

Company Facts

Organization Name

SAFR from RealNetworks

Company Location

United States

Company Website

safr.com

Company Facts

Organization Name

Invisible AI

Date Founded

2018

Company Location

United States

Company Website

www.invisible.ai/product

Categories and Features

AI Workplace Safety

Not specified

Computer Vision

Blob Detection & Analysis
Image Processing

Image Recognition

Not specified

Categories and Features

AI Manufacturing

Not specified

Computer Vision

Not specified

Manufacturing

Not specified

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