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

OpenFaceTracker is a facial recognition application designed to recognize one or more faces in images or videos by using a database for identification. To run OpenFaceTracker, your system must have OpenCV 3.2 and QT4 installed; you can either compile the libraries manually by following build_oft or install OpenCV and QT through your preferred package manager. You have the option to compile OpenFaceTracker either as a library or as a standalone executable. Once compiled, you can open the resulting file to utilize the detection and recognition features, display help and exit options, list all available cameras, test the XML database, read the configuration settings, and verify environmental parameters. OpenFaceTrackerLib is built on OpenCV 3.2, which has brought numerous new algorithms and enhancements compared to version 2.4, with several modules being restructured and rewritten. While most algorithms from version 2.4 remain available, the interfaces may vary, necessitating users to familiarize themselves with the changes. Ultimately, OpenFaceTracker offers a versatile solution for facial recognition tasks across various platforms.

Description

The 3rd generation Tencent YouTu Grandmother Model has enhanced Face Recognition capabilities through the application of diverse training techniques, including metric learning, transfer learning, and multi-task learning. Tailored fine-tuning and model distillation ensure that it aligns with the performance and latency needs of various applications. The technology has been rigorously tested against Tencent's extensive user base and numerous complex scenarios, demonstrating remarkable reliability with an availability rate exceeding 99.9%. Additionally, Face Recognition excels in handling high concurrency, impressive throughput, and minimal latency, efficiently processing millions of faces within mere milliseconds to meet real-time demands. Its versatility allows for deployment in numerous contexts, such as online photo management, smart retail solutions, security monitoring, access control, attendance tracking, login systems, facial effects, online examinations, and beyond, showcasing its broad applicability across different industries. This adaptability and efficiency make it an invaluable tool for modern technological environments.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Tencent Cloud No 

Integrations

Tencent Cloud Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

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

Deployment

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

Customer Support

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

Customer Support

Business Hours Yes 
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) No 
In Person No 

Vendor Details

Company Name

OpenFaceTracker

Founded

2017

Website

www.openfacetracker.net

Vendor Details

Company Name

Tencent

Founded

2013

Country

China

Website

intl.cloud.tencent.com/product/facerecognition

Product Features

Product Features

Alternatives

Face SDK Reviews

Face SDK

3DiVi

Alternatives

Azure Face API Reviews

Azure Face API

Microsoft