Average Ratings 0 Ratings

Total
ease
features
design
support

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

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

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

Write a Review

Description

As facial recognition technology advances, the collection of public video footage poses significant privacy threats. Brighter AI's Precision Blur stands out as the leading solution for accurate face redaction globally. Their innovative Deep Natural Anonymization leverages generative AI to generate synthetic face overlays that ensure individuals remain unrecognizable, all while maintaining the quality necessary for machine learning applications. The Selective Redaction interface empowers users to choose which personal information in videos to anonymize selectively. In specific scenarios, like those encountered in media and law enforcement, it may not be necessary to blur every face. Following automated detection processes, users have the option to individually select or deselect objects. Furthermore, the Analytics Endpoint delivers essential metadata linked to the original elements, including bounding box coordinates, facial landmarks, and attributes of individuals. With JSON outputs, users can access pertinent information while ensuring that images or videos remain compliant and anonymized, preserving privacy in an increasingly digital world. This combination of features not only enhances privacy but also supports various professional applications effectively.

Description

Build face recognition into your applications with 3DiVi Face SDK and its language APIs. It uses NIST top-ranked face recognition technology and participates in FRTE 1:1 through a technology partner. The toolkit combines face detection and tracking, 1:1 verification, 1:N identification, active and passive liveness checks, deepfake detection, and facial image quality assessment. Software vendors, OEMs and integrators can configure biometric workflows for access control, attendance, visitor management and identity verification. Deploy the components on mobile or edge devices, on-premises servers or customer-managed cloud infrastructure; offline operation is supported. Windows, Linux, Android and iOS are supported. Language APIs and frameworks include Python, C++, C#, Java, Kotlin, Flutter, Swift, Go and Node.js, depending on the platform. Tutorials, samples and AI-agent-ready documentation support integration and prototyping. Request a 14-day trial. Annual and perpetual commercial licenses are available, with pricing based on components and deployment requirements.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Contact for pricing
Commercial licensing with annual and perpetual options. Pricing depends on selected SDK components, deployment architecture and project requirements. Free 14-day trial available on request.
Free Trial Yes 
Free Version No 

Deployment

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

Deployment

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

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Brighter AI Technologies

Country

Germany

Website

brighter.ai

Vendor Details

Company Name

3DiVi

Founded

2011

Country

United States

Website

3divi.ai/products/software/face-sdk

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training No 
Neural Network Modeling No 
Self-Learning No 
Visualization Yes 

Product Features

Alternatives

Alternatives