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Description
The Imageware Biometric Engine represents a versatile and scalable platform for identity management that employs multi-modal biometric technology, ensuring that only authorized individuals are permitted access to restricted areas or can obtain sensitive documents. By utilizing a combination of biometric factors, the Biometric Engine performs 1:1 searches to confirm an individual's identity, 1:N searches for identification within a larger population, and X:N investigative searches against watch lists and blacklists. This technology is neutral regarding biometric algorithms and hardware, allowing for compatibility with the widest array of algorithms and devices available in the market. When employing multiple biometric modalities, such as facial recognition alongside fingerprint scanning, the system processes each type through distinct algorithms before merging the results based on predefined logic. Imageware has been dedicated to crafting reliable solutions for secure identities since its establishment in 1997, showcasing a deep commitment to advancing biometric technology over the years. With this extensive history, the platform continues to evolve, adapting to meet the growing demands of secure identity verification in various sectors.
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
Imageware
Founded
1987
Country
United States
Website
imageware.io/products/imageware-biometric-engine/
Vendor Details
Company Name
Oz Forensics
Founded
2017
Country
United Arab Emirates
Website
ozforensics.com