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Description
Griaule Biometric Suite provides an extensive range of solutions for biometric recognition, including face, fingerprint, palmprint, latent, newborn, and iris identification. It is recognized as one of the most accurate Automated Biometric Identification Systems (ABIS) globally. The suite includes features such as database migration complete with deduplication checks and the ability to swiftly scan paper-based biometric cards using Optical Character Recognition (OCR). It facilitates biometric enrollment with both quality assurance and data standardization processes in place. Additionally, the system enhances and searches latent fingerprints while maintaining control over fraud and overall database integrity. Newborn biometric enrollment is also seamlessly integrated into the system. Users benefit from straightforward biometric identification and verification processes, complemented by guaranteed high-quality enrollment. The suite offers automatic monitoring of faces in crowds and allows for textual searches within the database. Furthermore, Griaule ensures effective biometric integration within existing systems and supports the printing of identification documents linked with biometric systems, which includes document verification through OCR. The enrollment and search functionalities extend across various biometric data types, such as fingerprint and facial recognition, making Griaule a leader in advanced biometric recognition technologies! Their commitment to innovation keeps them at the forefront of the industry.
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
Griaule
Founded
2009
Country
Brazil
Website
griaule.com/solutions/
Vendor Details
Company Name
Oz Forensics
Founded
2017
Country
United Arab Emirates
Website
ozforensics.com
