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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

It possesses features such as facial recognition, attribute assessment, facial comparison, and liveness verification. This technology is adaptable for various sectors, including finance, personal identification security, and retail applications. It fulfills essential business needs like identity confirmation, attendance tracking through facial recognition, and access control through gates. The system can swiftly detect human faces and provide the bounding box coordinates for their locations. Additionally, it accurately identifies multiple types of attribute information and can generate 150 key point coordinates on a face. It can assess facial traits to compare two faces and produce a similarity score, thereby determining if they belong to the same individual. Furthermore, it supports the verification of names, identity card numbers, and facial images against reliable data sources, ensuring a precise assessment of a user's identity's authenticity. The system is capable of performing facial detection, tracking, and data acquisition offline, while also supporting liveness detection and capturing high-resolution facial images. With these comprehensive capabilities, it enhances security measures and improves user experience across various applications.

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.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial Yes 
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 No 
Mac No 
Linux No 
Chromebook 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 

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) No 
In Person No 

Vendor Details

Company Name

Baidu

Founded

2000

Country

China

Website

intl.cloud.baidu.com/product/face.html

Vendor Details

Company Name

OpenFaceTracker

Founded

2017

Website

www.openfacetracker.net

Product Features

Product Features

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