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Description
BioSP™ (Biometric Services Platform) is an open and modular platform designed to facilitate biometric systems through sophisticated data processing and management within a web services framework. This platform offers essential utilities such as workflow management, data formatting, and overall data management, making it ideal for extensive biometric applications. BioSP excels in environments that necessitate the collection of biometric information across a distributed network, followed by the aggregation, analysis, and sharing of this data with other system elements. It is built to be modular, programmable, scalable, and secure, effectively overseeing all facets of transaction workflows, including messaging, submissions, responses, and logging activities. By leveraging open-source components, BioSP adheres to Jakarta EE standards and provides automated capabilities for biometric image processing, data analysis, quality assurance, and reporting. Additionally, its architecture allows for seamless integration with various systems, ensuring efficient data flow and enhanced operational effectiveness.
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
AwareABIS
Oracle Cloud Infrastructure
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
Aware
Country
United States
Website
www.aware.com/biometrics/biometric-services-platform-biosp/
Vendor Details
Company Name
Oz Forensics
Founded
2017
Country
United Arab Emirates
Website
ozforensics.com