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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 FaceFirst?

FaceFirst offers clients the ability to create safer environments, improve customer interactions, and provide personalized services through its cutting-edge facial recognition technology and artificial intelligence solutions. This innovative system is utilized across various industries, including retail, transportation, and law enforcement, enabling organizations to effectively combat crime while increasing customer loyalty and engagement. Designed with high accuracy, scalability, security, and privacy in mind, FaceFirst's platform encompasses a wide range of features such as surveillance, customer interaction, mobile applications, access control, and forensic face recognition via desktop. Moreover, it boasts a comprehensive API and SDK for seamless integration with multiple systems and platforms, allowing users to scale their operations efficiently while maintaining optimal performance. The technology excels under challenging lighting conditions and angles and is compatible with nearly all camera providers or camera-enabled devices. In addition, the straightforward process of integrating facial recognition into pre-existing applications through its robust API and SDK options ensures that businesses can adapt to the ever-changing landscape of security requirements while simultaneously enhancing user experiences. Ultimately, FaceFirst positions itself as a leader in the field, helping organizations navigate the complexities of modern security challenges.

Media

Media

Integrations Supported

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

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Invisible AI

Date Founded

2018

Company Location

United States

Company Website

www.invisible.ai/product

Company Facts

Organization Name

FaceFirst

Date Founded

2007

Company Location

United States

Company Website

www.facefirst.com

Categories and Features

AI Manufacturing

Not specified

Computer Vision

Not specified

Manufacturing

Not specified

Categories and Features

Computer Vision

Not specified

Facial Recognition

Not specified

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