Iris ID’s New ID authentication readers speed travel

Iris ID’s New ID authentication readers speed travel

Quickly and conveniently moving large numbers of people through airports, across borders or accessing many other locations will be easier with two new Iris ID IrisAccess™ products – the iCAM D2000 and the IrisBar (OU60B). Both compact and touchless readers accurately identify people through advanced multi-modal biometric technologies. Iris ID, for more than 20 years the global leader in iris recognition technology, introduced the readers today at the Intersec Dubai tradeshow in Dubai, United Arab Emirates.

The iCAM D2000 and the IrisBar represent a new class of fused iris and face identification systems. The self-serve iCAM D2000 is easy to use, with large capture volume and audio/visual prompts guiding users to a frictionless experience. The unit also provides automatic face mask detection and an addon thermal sensor option to grant or deny entry based on a pre-programmed acceptable temperature range.

The IrisBar, a slim, multi-modal reader, is intended for easy kiosk mounting, helping transportation and other industries to integrate it in existing or future kiosks to provide an unparalleled authentication experience.

“We refer to the iCAM D2000 as “Lighthouse” for its ability to help people navigate airport checkpoints while providing fast, flexible and accurate high-quality images for enrollment and identification for travel and access solutions,” said Mohammed Murad, vice president, global sales and business development for Iris ID. “Also, the iCAM D2000 seamlessly integrates with other identity authentication systems to strengthen the bridge between legacy and future solutions.

“IrisBar is designed to provide the highest quality authentication experience in existing self-service kiosks. The new IrisBar will enable facilities to add high quality and accurate authentication to millions of self-serving kiosks around the world.”

Other features of the iCAM D2000 include:

• Two illuminator bars to assist in clear facial recognition and to automatically accommodate for dimly lit areas

• A customizable interactive touchscreen option to provide an exceptional user experience

• Automatic height accommodation between 1.2 and 2.1 meters

• Security countermeasures with industry standard-setting and globally proven set of anti-spoofing and liveness detection

• Installation flexibility with mounting options for speed gates, kiosks, desks and other locations.

• Integration tools – a robust REST API makes it easy for developers to create unprecedented user experiences.

The unique feature set results from 20-plus years of research and development, leveraging Iris ID’s experience processing billions of identities through its extensive existing product line.

The IrisBar shares many of the same D2000 features, including automatic height adjustment and security countermeasures. A high-power infrared LCD provides illumination for biometric capture, while an LCD display and speaker guide users through the identification process with visual and audio prompts. The slim unit captures biometric data from distances up to 750 millimeters.

“The IrisBar’s multi-biometric module, compact size and advanced features make it the premier choice for kiosks requiring identity authentication in aviation and transportation settings,” said Murad. “Facilities using the iCAM D2000 and the IrisBar can say goodbye to long lines due to slow, repetitive identification processes,” Murad said.

Neurotechnology launches latest MegaMatcher 12.3

Neurotechnology launches latest MegaMatcher 12.3

Neurotechnology, a provider of deep learning-based solutions and high-precision biometric identification technologies, today announced the release of the new MegaMatcher 12.3 multi-biometric product line, including updates to the MegaMatcher software development kit (SDK) and to MegaMatcher Accelerator – a combined software and hardware solution that provides high-speed, high-volume biometric identification for national-scale projects. The latest versions include enhanced facial and iris recognition algorithms with improved liveness detection, a new voice recognition algorithm and a new inference engine that provides significantly better speed and performance across all biometric modalities.

“Every day our team aims to innovate technologies that make our products more accurate and robust while also being faster and less complex for our customers to use,” said Evaldas Borcovas, biometric research lead at Neurotechnology. “This latest version of MegaMatcher exemplifies these efforts, providing greater accuracy in verification and identification processes while enabling our customers’ systems to work faster.”

The MegaMatcher product line includes Neurotechnology’s top-ranked biometric algorithms providing high recognition and identification accuracy across fingerprint, face, iris, palm print and voice biometric modalities that can be used individually or in any combination.

The latest enhancements to the MegaMatcher 12.3 product line include:

A new Intel Inference Engine provides better all-around performance, particularly for extraction operations. Support for Mac M1 (ARM) with neural network framework is now significantly faster than any previous versions running on the macOS.

Fingerprint. The new fingerprint algorithm includes support for the latest NIST Fingerprint Image Quality (NFIQ) 2.1 biometric standard, offering a higher degree of compatibility and flexible application.
Passive Face Liveness Detection. Newly introduced passive face liveness algorithm (also known as Presentation Attack Detection – PAD) establishes a higher degree of fraud prevention in mobile and dynamic situations.
Face. Additional updates to the face algorithm include an improved face extraction algorithm, better face detection and significantly improved detection of specific facial attributes including: gender, beard, mustache, hat, blink, mouth open, smile, glasses and dark glasses. A new attribute for glasses with a heavy frame is also introduced.
Iris Liveness Detection. Upgraded iris liveness algorithm (PAD) brings new improvements to eye activity detection and potential deceit risks assessment.

Voice. An entirely new algorithm introduces Neurotechnology’s advanced capabilities for voice recognition with multiple times better EER results.

MegaMatcher Accelerator. In addition to the proprietary API, version 12.3 also adds support for gRPC API (HTTP 2.0), making it easier to add security, load balancers and enabling the product to be used with any language (including Python and PHP) without native C components.

Smart Engines’ ID scanning tech used by Royal Caribbean Group

Smart Engines’ ID scanning tech used by Royal Caribbean Group

Smart Engines technology helps Royal Caribbean Group streamline the guest boarding experience. Use of the Smart ID Engine has reduced friction and improved the guest experience, freeing terminal agents’ time to focus on personalizing guest interactions.

Royal Caribbean Group is known for premium service. Using Smart Engines technology, guests are presented a travel document scanning process that is quick and intuitive, and offers the guest a streamlined experience in the terminal before boarding the cruise. Indeed, most guests quickly and efficiently scan their travel documents at home before traveling to the terminal. When document scanning is necessary at the terminal, terminal agents efficiently handle the task leveraging the Smart ID Engine.

“By leveraging Smart Engines Smart ID Engine technology, we have been able to advance the guest arrival experience by removing friction, and by simplifying the experience at home and at the terminal.” — says Tim Klauda, VP Product, Royal Caribbean Group.

“Royal Caribbean Group strives – through innovation – to provide the best cruise experience to its guests and we share this same goal. Entering the cruise industry with the world’s leading cruise line is an important milestone for Smart Engines. We would like to thank Royal Caribbean Group for trusting us,” — states Dr. Vladimir Arlazarov, Founder and CEO of Smart Engines.

There are other synergies to the Royal Caribbean Group and Smart Engines collaboration. Both companies are united in a common goal to protect the environment. In 2020, Smart Engines joined the UN Global Compact. Smart Engines research is aimed at creating new energy-efficient neural network architectures. The proprietary Green OCR technology, developed in Smart Engines software products for document scanning, enables it to reduce carbon footprint in the process of machine learning and the use of AI on many devices.