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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 Baidu AI Cloud Face Recognition?

The system features advanced capabilities such as facial recognition, attribute evaluation, face matching, and liveness checks, which enable its application across multiple fields, including finance, personal identification security, and retail settings. It effectively meets key business requirements such as verifying identities, tracking attendance, and controlling access. With its rapid face detection abilities, it quickly identifies the position of detected faces. Furthermore, it accurately assesses a variety of attribute data and provides the coordinates of 150 key facial points. This sophisticated technology can extract distinct facial traits, allowing for direct comparisons between two faces and generating a similarity score that aids in confirming whether they are of the same person. It also validates crucial data such as names, identity card numbers, and facial imagery against a verified database to ensure accurate identity confirmation. Operating offline, the system performs face detection, tracking, and data gathering tasks, while also facilitating liveness detection and capturing high-quality images of faces. Its adaptability and multifunctionality make it suitable for a range of applications, significantly bolstering security and improving the user experience in diverse industries. This widespread applicability underscores its importance in enhancing safety measures and operational efficiency across various sectors.

Media

Media

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

Pricing not provided.
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

Baidu

Date Founded

2000

Company Location

China

Company Website

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

Categories and Features

Categories and Features

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