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What is OpenFaceTracker?

OpenFaceTracker is an advanced facial recognition application that is capable of identifying one or more faces in images or videos by leveraging a dedicated database for identification purposes. To successfully operate OpenFaceTracker, your system needs to have OpenCV version 3.2 and QT4 installed; you can choose to manually compile these libraries by adhering to the instructions in build_oft or opt for installation via your preferred package manager. Users have the flexibility to compile OpenFaceTracker either as a standalone executable or as a library, depending on their needs. After compilation, users can launch the resulting file to access various features, including detection and recognition capabilities, help options, camera listings, XML database testing, configuration reading, and environmental parameter verification. Built on OpenCV 3.2, OpenFaceTrackerLib introduces a wealth of new algorithms and improvements when compared to version 2.4, with significant restructuring and rewriting of several modules. Although the majority of algorithms from the previous version 2.4 are still accessible, users will need to adapt to potential interface changes. This adaptability is crucial for ensuring effective use of the software. Ultimately, OpenFaceTracker stands out as a versatile and robust solution for accomplishing facial recognition tasks across different platforms and scenarios.

What is Face SDK?

3DiVi Face SDK & API is an advanced biometric face recognition toolkit with industry-leading accuracy, achieving a 99.73% 1:1 match rate as validated by NIST FRVT. It supports real-time face detection, tracking, identification (1:N), and verification (1:1) from video streams with multithreaded processing for high-speed performance. The SDK includes extensive face quality control features, such as checking head pitch, roll, yaw, blur, glare, and detecting up to 468 facial landmarks for precision. Beyond recognition, it detects gender, age, and seven basic human emotions, enriching analytics capabilities. The platform offers comprehensive passive and active liveness detection algorithms to reliably prevent spoofing attacks involving photos, masks, or video playback. Designed for cross-platform compatibility, it runs on Windows, Linux, Android, and iOS, with API support for a broad range of programming languages including Python, C++, C#, Kotlin, Swift, Go, Java, and Node.js. Performance is enhanced with GPU acceleration, processing up to 600 faces per second and searching databases with hundreds of millions of face templates. The SDK ensures privacy compliance with GDPR, CCPA, KYC, and AML regulations. Flexible licensing models and direct expert support are available to fit diverse business needs. Trusted by companies worldwide, 3DiVi Face SDK powers biometric projects in public safety, digital onboarding, and targeted advertising.

Media

Media

No images available

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$24.90
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

OpenFaceTracker

Date Founded

2017

Company Website

www.openfacetracker.net

Company Facts

Organization Name

3DiVi

Date Founded

2011

Company Location

United States

Company Website

3divi.ai/

Categories and Features

Categories and Features

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