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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Developers, businesses, and system integrators can enhance the efficiency of their facial recognition applications by implementing just a few lines of code, all while ensuring the privacy of their customers remains intact. With Biometric Vision’s cutting-edge AI-driven algorithm, you can seamlessly integrate and boost the accuracy, speed, and overall performance of your facial recognition solutions within minutes. Achieve an impressive 99.99% accuracy even in the most demanding environments, supported by a minimal error rate of just 0.006%, verified against a dataset of one million ethically sourced facial images. Our security measures include AES-256+ end-to-end encryption and a unique method for storing facial templates as anonymous alphanumeric codes, making them non-reversible. We specialize exclusively in facial recognition algorithms, offering access to both 1:1 and 1:N algorithm functionalities. Our APIs are designed to harness the advantages of connectivity, ensuring that our cloud-hosted API operates smoothly across any environment, whether physical or virtual. This API fosters innovation and presents ample opportunities for scaling and simplifying the monetization process, making it an invaluable tool for businesses looking to leverage advanced facial recognition technology. By choosing our solutions, you are not just upgrading your technology; you are embracing a future where privacy and performance coexist harmoniously.

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

SoftwareLinkers School Management Software Yes 
eConsult Yes 

Integrations

SoftwareLinkers School Management Software No 
eConsult No 

Pricing Details

$29 per month
Free Trial No 
Free Version Yes 

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) Yes 
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

Biometric Vision

Founded

2019

Country

Australia

Website

biometricvision.com

Vendor Details

Company Name

OpenFaceTracker

Founded

2017

Website

www.openfacetracker.net

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