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Description
FaceFirst empowers clients to foster safer environments, enhance customer interactions, and deliver tailored services through advanced facial recognition technology and artificial intelligence. With the FaceFirst system, various sectors such as retail, transportation hubs, and law enforcement can proactively address crime and boost customer loyalty and engagement. Notably, FaceFirst is designed for high accuracy, scalability, security, and privacy. The platform supports an extensive array of functionalities, including surveillance, customer interaction, mobile solutions, access control, and desktop forensic face recognition. Additionally, FaceFirst provides a comprehensive API and SDK, allowing seamless integration with diverse systems and platforms. Users can effortlessly scale their operations without compromising performance and can share data across countless locations. The technology maintains exceptional performance even in difficult lighting conditions and angles and is compatible with almost any camera provider or camera-enabled device. Furthermore, the ease of incorporating facial recognition into existing applications through robust API and SDK options ensures that businesses can keep pace with evolving security needs while enhancing user experiences.
Description
Created by experts at Oz Forensics, the biometric module utilizes cutting-edge artificial intelligence techniques and undergoes regular enhancements through ongoing data updates. In 2020, their face recognition algorithm recorded exceptional accuracy rates on the LFW dataset during testing at the University of Massachusetts, showcasing its effectiveness. The Oz Biometry module provides rapid identification capabilities, achieving speeds of under one second with an impressive accuracy of 99.87%.
With the advent of front-facing cameras on smartphones since the early 2010s, facial biometrics have emerged as a convenient method for user authentication. This technology can be employed not only during the registration phase but also for searching and verifying identities against extensive biometric databases.
Additionally, facial biometrics play a crucial role in the KYC (Know Your Customer) process, where selfie images are matched with document photos to verify user identity and check their status against biometric “black” and “white” lists. This integration of facial recognition into daily security measures enhances both user experience and safety.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
FaceFirst
Founded
2007
Country
United States
Website
www.facefirst.com
Vendor Details
Company Name
Oz Forensics
Founded
2017
Country
United Arab Emirates
Website
ozforensics.com
Product Features
Computer Vision
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration