MCLEAN, VA – Novetta, a leader in advanced analytics technology, today released a groundbreaking whitepaper analyzing the biometric performance of Amazon Rekognition, Amazon’s machine learning-based face recognition service. Cloud-based face recognition services from Amazon Web Service (AWS), Face++, and Microsoft – as well as dozens of smaller start-ups – are significantly expanding the range of applications in which face recognition can be deployed. Based on its relatively low cost, ease of implementation, and use of deep learning, Amazon Rekognition has gained significant traction in government and commercial applications. Novetta provides new insights into Amazon Rekognition performance, including: Against relatively small databases,…
Amazon Rekognition: Quick-Look Biometric Performance Assessment
The launch of Amazon Web Services (AWS) Rekognition, in November 2016, represented a significant milestone in the market based on its negligible start-up costs, volume-based pricing model, and streamlined application programming interfaces. Cloud-based face recognition services, like Rekognition, have the potential to complement or disrupt traditional face recognition solutions used for security, fraud detection, and identification applications, such as watchlisting. This whitepaper presents results from two separate performance evaluations of Rekognition – first comparing Rekognition performance to face recognition tools commonly used in entry-level face processing applications, then comparing Rekognition performance to cloud services from Microsoft and Kairos. Click image…
Novetta Expands Support for Biometric Standards Development
MCLEAN, VA – Novetta, a leader in advanced analytics technology, today announced that Vice President of Special Projects, Michael Thieme, has been appointed Editor of ISO/IEC 30107-4 – Biometric presentation attack detection – Profile for evaluation of mobile devices. This performance testing standard, under development in ISO/IEC JTC1, will address spoofing and presentation attacks against mobile devices such as iPhones and Android smartphones. The ability to detect fake fingerprints, video replays, and voice recordings is a significant concern to commercial and government agencies who rely on mobile device authentication for transactions and identity confirmation. As more advanced threats emerge, the…
2017 connect:ID
The highly acclaimed connect:ID conference will explore how secure identity technology is enhancing authentication, wherever it is used – from aviation and border control, to healthcare, finance, education and countless other markets. Novetta offers a range of cutting-edge identity intelligence products and services, focused on solving the hardest problems facing our customer base (DoD, IC). Visit Novetta in Booth# 211 for a live demo.
Novetta Certifies EyeLock Iris Authentication Performance
Independent test results affirm capabilities in accuracy, performance and usability
NEW YORK – EyeLock LLC, a market leader in iris-based identity authentication solutions, today released test results from Novetta, a leader in advanced analytics technology and independent biometric testing. EyeLock engaged Novetta to evaluate EyeLock’s EN2 iris authentication module, hardware, and software stack for enrollment rates, enrollment duration, and matching accuracy. The EyeLock iris authentication module is a self-contained iris enrollment and authentication system that is offered as a complete reference design and can be customized for individual applications. The study was conducted to certify EyeLock performance supporting planned global deployments in response to the accelerated growth of biometrics and significant demand…
Opportunities in Analyzing & Processing Online Face Images
Processing and Analyzing Online Face Images: Problem Statement Facial images obtained from online sources can be used to link and identify individuals. Profile photos and albums shared on social networks such as Facebook and Twitter, as well as photos discoverable through Google searches, present vast quantities of facial images through which associations and locations can be ascertained. However, the protection and exploitation of online face images requires specialized expertise in face recognition software, processing methods, and analytical approaches. Though online facial images can be an invaluable source of identity information, utilizing these images can be labor-intensive and technically challenging. Click…
Why Your Access Control System Needs “Intelligent” Fusion
The potential security benefits of multi-factor/multimodal authentication or access control systems are frequently discussed, but…
