BT/ Intel launches edge biometric facial authentication solution for integration with numerous devices

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Paradigm

26 min readJan 18, 2021

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Biometrics biweekly vol. 3, 5th January — 18th January

TL;DR

Intel has unveiled a new on-device biometric facial authentication solution it calls RealSense ID, which enables secure and accurate edge processing for devices including smart locks, access control gates and point-of-sale devices, ATMs and kiosks, the company says.
Biogen is collaborating with Apple on a remote research study to see if the biometric and other sensing capabilities of the Apple Watch and iPhone can help with screening cognitive health and monitoring cognitive performance.
Ceva has reached an open licensing agreement with the U.S. Defense Advanced Research Projects Agency (DARPA) to help its programs innovate rapidly with smart sensing technologies. The company has also launched the next generation of its SensePro DSP (digital signal processor) family, which provides a hub for artificial intelligence workloads with visual and audio sensors, like face recognition and voice biometrics.
Huawei and other China-based firms have attempted to protect technologies related to their ethnicity-tracking biometrics with patents, IPVM has discovered.
New tech for in-display biometrics developed by Qualcomm, Samsung.
Biometrics for healthcare wearables developed by Valencell, exhibited at CES.
Rank One patents passive biometric facial liveness for standard mobile devices.
Aware ranks first in the US in MINEX III’s biometric leaderboards.
UK company Biosite Systems Ltd, a workforce management systems developer, has been awarded a contract to develop and deliver a biometrics-based health and safety passport system for high speed railway project HS2.
A researcher claims he can divine the politics of individuals using a facial recognition algorithm. The biometric algorithm, applied by researcher Michał Kosiński, was used on naturalistic images of 1.1 million people, and reportedly was able to correctly identify 72 percent of liberal/conservative face pairs.
Researchers are reporting an advancement of a chemical sensing chip that could lead to handheld devices that detect trace chemicals — everything from illicit drugs to pollution — as quickly as a breathalyzer identifies alcohol.
Computer science professor exploring log-in solutions for people with upper extremity impairment.
Biometrics researchers play too fast and loose with flashy findings — study.
TSA challenge crowdsources biometrics innovation for airports.
HikVision releases face biometric terminal with mask alerts for access control.
FIDO2 biometric authentication launched by Oracle, extended by Ipsidy.
Anviz releases face biometric terminals with mask and temperature alerts.
Arculus crypto card secured by mobile device biometrics unveiled.
Open letter urges strong regulation on AI and biometrics by European Commission.
Cayman Islands launches tender for national digital ID cards via proposal request.
Taiwan puts digital ID project on hold, Japan plans to expand use of My Number card.
Iraq replaces outdated biometric voter cards for 2021 election.
Uganda gets 38,500 biometric voter verification devices for Thursday’s polls.
Biometric screening in Nigeria trims local government payrolls, finds unqualified teachers.
India will use Aadhaar authentication, considering biometrics for vaccination management.
ID R&D reports passive liveness and voice biometrics fuel 140 percent new customer growth in 2020.
Latest report predicts major growth for the image recognition market.
Biometric ATMs and remote payment systems expanding around the world.
Biometrics industry events. And more!

Biometrics market

The Biometric system market size is projected to grow from USD 36.6 billion in 2020 to USD 68.6 billion by 2025; it is estimated to grow at a CAGR of 13.4% during the forecast period. Increasing use of biometrics in consumer electronic devices for authentication and identification purposes, the growing need for surveillance and security with the heightened threat of terrorist attacks, and the surging adoption of biometric technology in automotive applications are the major factor propelling the growth of the biometric system market.

Biometric Research & Development

Latest Researches:

Large‐Scale Sub‐1‐nm Random Gaps Approaching the Quantum Upper Limit for Quantitative Chemical Sensing

by Nan Zhang, Haifeng Hu, Matthew Singer, Kuang‐hui Li, Lyu Zhou, Boon S. Ooi, Qiaoqiang Gan in Advanced Optical Materials

Researchers are reporting an advancement of a chemical sensing chip that could lead to handheld devices that detect trace chemicals — everything from illicit drugs to pollution — as quickly as a breathalyzer identifies alcohol.

The chip, which also may have uses in food safety monitoring, anti-counterfeiting and other fields where trace chemicals are analyzed.

“There is a great need for portable and cost-effective chemical sensors in many areas, especially drug abuse,” says the study’s lead author Qiaoqiang Gan, PhD, professor of electrical engineering in the UB School of Engineering and Applied Sciences.

The work builds upon previous research Gan’s lab led that involved creating a chip that traps light at the edges of gold and silver nanoparticles.

When biological or chemical molecules land on the chip’s surface, some of the captured light interacts with the molecules and is “scattered” into light of new energies. This effect occurs in recognizable patterns that act as fingerprints of chemical or biological molecules, revealing information about what compounds are present.

Because all chemicals have unique light-scattering signatures, the technology could eventually be integrated into a handheld device for detecting drugs in blood, breath, urine and other biological samples. It could also be incorporated into other devices to identify chemicals in the air or from water, as well as other surfaces.

The sensing method is called surface-enhanced Raman spectroscopy (SERS).

While effective, the chip the Gan group previously created wasn’t uniform in its design. Because the gold and silver was spaced unevenly, it could make scattered molecules difficult to identify, especially if they appeared on different locations of the chip.

Gan and a team of researchers — featuring members of his lab at UB, and researchers from the University of Shanghai for Science and Technology in China, and King Abdullah University of Science and Technology in Saudi Arabia — have been working to remedy this shortcoming.

The team used four molecules (BZT, 4-MBA, BPT, and TPT), each with different lengths, in the fabrication process to control the size of the gaps in between the gold and silver nanoparticles. The updated fabrication process is based upon two techniques, atomic layer deposition and self-assembled monolayers, as opposed to the more common and expensive method for SERS chips, electron-beam lithography.

The result is a SERS chip with unprecedented uniformity that is relatively inexpensive to produce. More importantly, it approaches quantum-limit sensing capabilities, says Gan, which was a challenge for conventional SERS chips

“We think the chip will have many uses in addition to handheld drug detection devices,” says the first author of this work, Nan Zhang, PhD, a postdoctoral researcher in Gan’s lab. “For example, it could be used to assess air and water pollution or the safety of food. It could be useful in the security and defense sectors, and it has tremendous potential in health care.”

a) Schematic of the device fabrication process. Direct deposition of metal followed by thermal annealing is used to pattern the first layer of random nanostructure on the glass substrate. These patterns are conformally encapsulated with a thin Al2O3 spacer using ALD. Next, a gold (Au) film is deposited on the existing nanopattern, and the whole structure is stripped off the glass substrate using UV cured epoxy and a glass slide. b–e) Topview scanning electron microscope (SEM) images of different buried random nanopatterns. Red dotted squares: Further zoomed-in images show a 1 nm nanogap surrounding the existing nanopatterns. Scale bar: 300 nm. f) Cross-sectional TEM of a 10-Å-wide Al2O3 layer between Ag and Au layers. Scale bar: 100 nm (top), 30 nm (middle), 10 nm (bottom).

Close-set eyes, thin mouth, sharp nose — AI sums your face for political affiliation

A researcher claims he can divine the politics of individuals using a facial recognition algorithm.

The biometric algorithm, applied by researcher Michał Kosiński, was used on naturalistic images of 1.1 million people, and reportedly was able to correctly identify 72 percent of liberal/conservative face pairs.

Facial recognition technology can expose political orientation from naturalistic facial images

Ubiquitous facial recognition technology can expose individuals' political orientation, as faces of liberals and…

www.nature.com

That compares to 55 percent accuracy for human guesses and 66 percent for assignments based on a 100-question assessment, according to Kosiński’s paper.

Images were gathered from Facebook and dating sites of people (making them self-selected) in the United States, Canada and the UK. “Potential cues” of political leanings included face expression and morphology, and self-presentation.

Just 347,000 images were of people judged to be non-white, which the author holds out as evidence that the findings “apply to other countries, cultures, and types of images.”

Although it is positioned as a warning about mass surveillance and the potential abuse of face biometrics, the report has been met with skepticism if not condemnation.

Superficial physical identification has been used to ostracize people throughout human history. As recently as the late 1970s, Cambodia’s bloodthirsty Khmer Rouge regime used the wearing of eyeglasses to mark tens of thousands for state murder.

Technology investment publication VentureBeat called the study “outlandish” in the headline of an article about the facial recognition research. The article made sure to note in the headline that Kosinski is associated with Stanford University (he is an associate professor at Stanford’s business school). It links Kosiński’s work to discredited pseudoscience like phrenology. He claims to have authored the first media article that warned against Cambridge Analytica, the firm Ted Cruz used during his failed presidential campaign to get detailed psychological profiles of U.S. voters without their permission using seemingly innocent Facebook surveys.

Kosiński’s work on AI and mass persuasion is credited with underpinning Cambridge Analytica. He has made presentations to the political and economic leaders of Russia. He maintains that biometrics-based AI is capable of discerning IQ, emotions and even one’s sexuality.

Procedure used to predict political orientation from facial images. (To protect participants’ privacy, we used a photo of a professional model. Their informed consent for publication was obtained.)

Computer science professor exploring log-in solutions for people with upper extremity impairment

The ease of accessing your computer or smartphone is something you probably take for granted. But for people with upper extremity impairment, the act of logging in to their devices is anything but simple.

“All our devices by default require some kind of password, biometric assistance, or other credential verification process,” said Krishna Venkatasubramanian, an assistant professor of computer science at the University of Rhode Island. “Most of these things require your hands, but people with upper extremity impairment many times cannot use their shoulders, arms, hands or fingers as dexterously as the rest of us can. So, this can introduce a lot of problems for them to just log into their machines.”

Backed by a three-year, $500,000 grant from the National Science Foundation, Venkatasubramanian is researching computer authentication problems faced by people with upper extremity impairment with a goal of developing software that allows users to more easily access their devices. Venkatasubramanian is collaborating with TechACCESS of Rhode Island, which provides assistive technology services for people with disabilities.

“TechACCESS’ mission is to utilize technology to help individuals gain access to things that many people take for granted: communication, learning, literacy, correspondence, and many other things,” said Kelly Charlebois, executive director of TechACCESS. “This project of helping individuals with upper extremity impairment access and utilize device security features fits into that perfectly.”

Biometrics researchers play too fast and loose with flashy findings — study

As a rule, the more huffery in coverage of exciting biometric research, the more puffery will be found when really analyzing the research.

Case in point: A team of researchers found unabashedly credulous coverage in popular media of almost any lab work involving adversarial machine-learning attacks against biometric surveillance systems.

The researchers focused on developments promising invisibility cloaks and masks that might hide people from computer vision systems feeding data to facial recognition algorithms. Their work was posted in the preprint Arxiv repository.

Regardless of how many qualifiers are used in research papers, too many in the media think only of how high the news will climb in search engine results.

And the only thing rarer in research than an adequately funded study is an organization demanding corrections to articles that make its scientists look more like geniuses than they may be.

While much of the blame falls on consumer-interest editors, the researchers investigating this symbiotic relationship say organizations are playing cute with less-than-challenging investigatory processes.

In fact, according to the new paper, they are not publishing based on “actual (sic) real world testing.”

They are not conducting extensive human subjects research, according to the team boasting researchers from Microsoft, software developer Citizen Lab, Harvard University and Swarthmore College.

They wrote: “We found the physical or real-world testing conducted was minimal, provided few details about testing subjects and was often conducted as an afterthought or demonstration.” Performance and reliability outside the laboratory are inadequately tested.

For good measure, they said future research in facial recognition and other surveillance research should find subjects from the populations most often targeted by the biometric surveillance systems: people of color, those other than cisgendered individuals, and sex workers.

Main Development News:

Intel launches edge biometric facial authentication solution for integration with numerous devices

Intel has unveiled a new on-device biometric facial authentication solution it calls RealSense ID, which enables secure and accurate edge processing for devices including smart locks, access control gates and point-of-sale devices, ATMs and kiosks, the company says.

The new Intel RealSense ID is sold as a plug-and-play peripheral or as a module for integration into OEM devices, and features a one in one million false acceptance rate (FAR), biometric anti-spoofing protection, and fast and easy enrollment and matching, according to the company. Intel validated its liveness-checking not only with 2D images, but also sophisticated 3D masks sourced from Hollywood.

“Intel RealSense ID combines purpose-built hardware and software with a dedicated neural network designed to deliver a secure facial authentication platform that users can trust,” states Sagi Ben Moshe, Intel corporate vice president and general manager of Emerging Growth and Incubation in a press release.

During a pre-release briefing call, with Ben Moshe and Intel RealSense Head of Marketing and Product Management Joel Hagberg, a demonstration video depicted authentication with a mask, and with a combination of dark glasses, a moustache and large headphones, as well as authentication at a range of angles. Ben Moshe acknowledges that with the subject’s nose covered, the biometric accuracy will be reduced.

Purpose-built with an active depth sensor and a “specialized” neural network which Ben Moshe said in the pre-brief “adapts over time.” That means a person adding glasses or shaving off a beard will still be recognized by the algorithm. The algorithm was trained on a proprietary database Intel claims to have invested heavily in, in order to ensure balanced demographic representation and therefore biometric performance with different skin colors, genders and ages, including children.

Intel RealSense ID also works in a variety of lighting conditions, including darkness, to support a range of implementations including outdoor use.

In terms of hardware, Intel RealSense ID is a dedicated SoC integrated with RGB and near-IR cameras, a depth sensor, secure enclave, LED illuminator and projector all packed into a small form factor. The peripheral is approximately half the size of a business card Hagberg held one up against, while the module is about one-quarter as large as a business card.

Apple device biometric sensors used in cognitive health screening study

Biogen is collaborating with Apple on a remote research study to see if the biometric and other sensing capabilities of the Apple Watch and iPhone can help with screening cognitive health and monitoring cognitive performance.

The multi-year study will be launched later in 2021, and allow participants of various ages with varying cognitive performance, and instead of using biomarkers to identify people, will apply Biogen’s neuroscience expertise to developing digital biomarkers for monitoring cognitive performance and spotting early signs of mild cognitive impairment (MCI).

MCI impacts roughly 15 to 20 percent of adults above the age of 65, according to the announcement, and can be an early indicator of some forms of dementia, like Alzheimer’s disease. The often-subtle onset of symptoms can take months or years before it is diagnosed by health care providers.

“Cognitive decline can be an early symptom of neurodegenerative diseases and dementia. The successful development of digital biomarkers in brain health would help address the significant need to accelerate patient diagnoses and empower physicians and individuals to take timely action,” explains Michel Vounatsos, CEO at Biogen. “For healthcare systems, such advancements in cognitive biomarkers from large-scale studies could contribute significantly to prevention and better population-based health outcomes, and lower costs to health systems. Bringing together the best of neuroscience with the best of technology creates a wonderful prospect for patients and public health.”

The virtual study has been designed to preserve consumer privacy and control, and allows participants to end their participation at any time.

Huawei, Megvii, SenseTime patents describing biometric ethnicity detection, tracking revealed

Huawei and other China-based firms have attempted to protect technologies related to their ethnicity-tracking biometrics with patents, IPVM has discovered.

The tech giant has also asked China’s intellectual property authority, the China National Intellectual Property Administration (CNIPA), for permission to scrub the references to Uighurs in its patent document, according to the BBC, which conducted its own investigation.

The patent document was originally filed in 2018, and describes systems for improving identification accuracy for images of people with different postures through deep learning.

A company representative says Huawei opposes all forms of discrimination, that racial identification was never part of the R&D project in question, and it should not have been included in the filing.

Maya Wang of Human Rights Watch tells the BBC that ethnicity tracking is now a technical requirement for video surveillance networks operated by the Chinese Ministry of Public Security.

New tech for in-display biometrics developed by Qualcomm, Samsung

Qualcomm has announced that its newest in-display biometric fingerprint sensors will be deployed in smartphones early this year, writes Engadget. The new 3D Sonic Sensor will be significantly larger and is supposed to be 50 percent faster than the previous version. Accordingly, Qualcomm’s new 3D Sonic Sensor will span an area of 64 square millimeters, a 77 percent increase compared to its predecessor’s 36 square millimeters.

The second generation of its signature 3D Sonic Sensor boasts higher accuracy and speed, the company says. Qualcomm promises faster unlocking procedures thanks to new improvements in scanner processing efficiency. Additionally, the new scanner’s larger surface will allow it to collect 1.7 times more biometric data.

Qualcomm’s latest addition to its 3D Sonic family of scanners builds on the company’s success in meeting the ongoing security demands and concerns surrounding in-display devices. While conventional scanners encountered security breaches due to spoofing and inaccuracies, 3D Sonic uses ultrasound technology to scan pores and ridges of a finger.

In addition to this news, Qualcomm also announced that the 3D Sonic Max, its largest scanning device, just won the CES 2021 Innovation Award in the ‘Embedded Technologies’ category.

The 3D Sonic Max was crowned the most advanced ultrasonic fingerprint sensor due to its biometric accuracy and peak performance regardless of humidity and other conditions. At only 0.2 millimeters thickness, the 3D Sonic Max spans 600 square millimeters and is capable of scanning two fingerprints simultaneously.

Ceva licenses AI processing for DARPA biometrics and research programs

Ceva has reached an open licensing agreement with the U.S. Defense Advanced Research Projects Agency (DARPA) to help its programs innovate rapidly with smart sensing technologies. The company has also launched the next generation of its SensePro DSP (digital signal processor) family, which provides a hub for artificial intelligence workloads with visual and audio sensors, like face recognition and voice biometrics.

The new SensePro2 performs computer vision tasks with up to a 6-times improvement in performance, and delivers a two-times improvement in AI inferencing, according to the announcement. It is also 20 percent more power-efficient.

The DSPs are used with a wide range of sensors including LiDAR, time-of-flight systems, and microphones.

For AI networks used in audio applications like natural language processing, the entry-level SensePro2 DSPs provides a performance boost of up to ten times better performance than the Ceva-BX2 DSP.

“Our new SensPro2 family of power-efficient sensor hub DSPs offers scalable performance, multiple precisions and high utilization for the increasingly complex and diverse AI/sensor workloads of contextually-aware devices,” said Ran Snir, Vice President of R&D at CEVA. “The SensPro2 architecture is unique and innovative and uses a common ISA enabling seamless software reusability across all the SensPro2 DSPs. Our customers highly value this, along with the application-specific ISAs, as they increasingly utilize SensPro2 cores in their product designs.”

The new line consists of five SP-series DSPs, and two SPF-series floating point DSPs. The company says the SP100 and SP50 are ideal for audio workloads, like voice biometrics, while the SP1000, SP500 and SP250 DSPs are best-suited to computer vision and similar workloads.

Biometrics for healthcare wearables developed by Valencell, exhibited at CES

Valencell has announced the development of an upgraded biometric blood pressure measuring technology for wearables that does not require calibration or a worn cuff. Meanwhile, biometric wearables are among the prominent emerging product categories at this year’s online Consumer Electronics Show (CES) 2021, with announcements by Nuralogix, MoviWear, Icon.ai, and Cybin has partnered with Kernel to measure neurological symbols.

The biometric sensor developed by Valencell will soon be available for wearable OEMs, according to the report. The company says it developed the sensor to provide blood pressure monitoring without the inconvenience of cuffs, and that it is hoping to receive FDA clearance this year.

The company notes that a national survey it conducted shows nearly two-thirds of Americans with hypertension measure their blood pressure much less than is recommended by health experts.

“Huge opportunities exist to ease the burden of blood pressure monitoring and reduce the cost of healthcare with non-invasive sensor technology embedded in devices people wear every day,” states Valencell Co-founder and President Dr. Steven LeBoeuf.

Aculab and Jenetric each receive ISO certifications

Aculab has been recommended for ISO 27001 accreditation, providing assurance to the company’s voice biometrics customers of the security of their data. The accreditation provides “requirements for an information security management system (ISMS),” to help ensure that companies have sufficiently robust security to manage sensitive assets like financial information, intellectual property, employees’ biometric data, and more.

New Orbbec 3D cameras launch at CES 2021 for low-light and industrial applications

Orbbec has debuted a series of new 3D cameras and a processor with advanced features capable of supporting biometric deployments in challenging conditions at the Consumer Electronics Show (CES) 2021.

Among the four products Orbbec is demonstrating at the virtual event is its time-of-flight (TOF) sensor, which the company says can scan moving objects with high accuracy and a depth-of-field range from 0.2 to 5 meters, 6-axis IMU motion tracking, full function in complete darkness, and support for multi-camera synchronization.

Effective 3D imaging in dark environments could expand the adoption of facial recognition for applications like outdoor access control.

Orbbec has also developed an industrial-level 3D camera in partnership with Perdue University, with ultra-high depth resolution and 3D reconstruction in real-time. The product is expected to be available as a white-label OEM product in 2021. The Astra+ is the latest in Orbbec’s Astra line of structured light 3D cameras, with better thermal performance and an RGB camera updated from VGA to 1080-pixel resolution.

Aware ranks first in the US in MINEX III’s biometric leaderboards

Aware has announced positive results in the NIST MINEX III (Minutiae Interoperability Exchange) biometric fingerprint technology evaluation on Tuesday. Of the two U.S. companies who made it in the list, Aware ranked first for both template generators and matchers.

The MINEX III is a test used to assess compliance of template generators and template matchers for companies wishing to join the U.S. Government’s Personal Identity Verification (PIV) program. More generally, the biometric evaluation is widely considered an international benchmark in state-of-the-art fingerprint template generation and matching across different vendors.

“Compliance with the PIV program is often a mandatory requirement for worldwide public and private organizations that use or require fingerprint technology,” explained Aware CTO Mohamed Lazzouni.

Construction site biometrics advance with Biosite contract and new Redrock product

UK company Biosite Systems Ltd, a workforce management systems developer, has been awarded a contract to develop and deliver a biometrics-based health and safety passport system for high speed railway project HS2. The new digital ‘Health and Safety Passport System’ (HSPS) will be used initially by all of HS2’s Main Works Civils Contractors to share critical health and safety information for contractors across the project.

The introduction of the HSPS is part of HS2’s commitment to become the UK’s safest ever major project, according to Biosite and this will be ensured via “data integrity and synchronicity at every point,” Managing Director at Biosite, Li Wang comments.

Biosite offers biometric access control and workforce management solutions to facilitate safe and secure sites for the construction sector. This software will link operatives’ biometric data directly to information and site access, into a cloud-based portal which provides real-time visibility and traceability. The HSPS will establish a central database of critical workforce information across the HS2 supply chain, whilst providing biometric information to generate operatives’ global identification or digital ‘passport.’ The data can also be anonymised, for future projects.

Workforce data will be trackable in areas of competency mapping, health and safety assessments and fatigue management across the project. The software will also remove duplicates of worker profiles, to ensure only a singular record file is kept.

“We were able to utilise our experience working across HS2 projects to-date to recommend a software solution that will bring together silos of data from JV projects in a central, cloud-based portal through a combination of online induction, biometric data capture through various access control points at site level, and business intelligence software,” Wang adds.

The Health and Safety Passport System is planned to go ahead in Spring 2021.

Rank One patents passive biometric facial liveness for standard mobile devices

Rank One has been awarded a patent for a passive biometric liveness detection technology based on micro-texture analysis by the U.S. Patent and Trademark Office (USPTO).

The patent for a “Method and system for implementing image authentication for authenticating persons or items” describes an anti-spoofing system that could extract image regions to analyze the spatial relationship between pixels or groups of pixels, comparing the relationship against “a plurality of spatial relationships” characteristic of certain artefacts. An authenticity value is generated based on this comparison.

The authentication methods covered offer several practical advantages over other methods of biometric facial liveness verification, according to the company announcement. Among them, the technology works on standard RGB cameras implemented in mobile phones and other devices, without any special hardware; the passive method does not require any particular action from the user; and the method works with either a still image or a single video frame, for low processing or bandwidth requirements.

Rank One’s ROC facial recognition SDK library has already included the anti-spoofing biometric liveness algorithm for several years, the company says, giving customers a lightweight and easy-to-integrate capability.

The liveness feature is also already integrated into multiple operational access control products. The company also notes that biometric integrators are increasingly deploying facial recognition for contactless payments, access to online banking services and a range of other applications in which anti-spoofing technology is needed to meet security requirements.

According to the announcement, the patent is Rank One’s first, as most of its intellectual property is protected as trade secrets.

Plurilock files behavioral biometrics patent for continuous remote worker authentication

Plurilock has filed for a patent to cover a new form of continuous authentication with behavioral biometrics for remote workers.

The filing with the U.S. Patent and Trademark Office (USPTO) describes the use of keystroke biometrics with previously-enrolled data, and Plurilock says it can enable companies to constantly authenticate their employees working on remote devices or in remote settings while staff remain ‘invisible.’

“The filing of our provisional patent application validates our intention to create innovative authentication solutions that are designed to prevent, and address security challenges faced by the enterprise customers that have a growing remote workforce,” says Ian L. Paterson, CEO of Plurilock Security Inc. “As the world moves to remote work, we plan to develop more advanced continuous authentication solutions that can challenge the current industry standards while ensuring our clients’ workflow remains uninterrupted in and out of the office.”

These Weeks’ News by Categories

Access Control:

Consumer Electronics:

Financial Services:

Civil / National ID:

Government Services & Elections:

Facial Recognition:

Fingerprint Recognition:

Voice Biometrics

Behavioral Biometrics

Wearables

Liveness Detection

Mobile Biometrics

Biometrics Industry Events

Deep Learning 2.0 Virtual Summit: Jan 28, 2021 — Jan 29, 2021

Border Management & Technologies Summit Asia: Feb 23, 2021 — Feb 25, 2021

IFINTEC Finance Technologies Conference and Exhibition: Mar 9, 2021 — Mar 10, 2021

SECON 2021: Mar 10, 2021 — Mar 12, 2021

2nd Annual Facial Recognition Summit: Apr 7, 2021 — Apr 8, 2021

Secure Identification 2021: Apr 14, 2021 — Apr 16, 2021

Identity Management Symposium: Apr 21, 2021 — Apr 22, 2021

Critical Infrastructure Protection & Resilience Europe: May 11, 2021 — May 13, 2021

5th India Homeland Security: May 13, 2021 — May 14, 2021

MISC

‘Lashing together’ biometrics development for the US intelligence community: Coordination of effort in the federal government has not been in vogue for four years, but one segment of the nation’s intelligence community has continued to focus on coordinating biometrics development. In a Federal News Network podcast, John Beieler, a sub-director within the Director of National Intelligence office, describes his linking priorities as if he missed a memo or two in recent years. Beieler is the DNI’s director of science and technology coordination.
TSA challenge crowdsources biometrics innovation for airports: The U.S. Transportation Security Administration (TSA) recently opened the Power of Passengers Challenge, calling on citizens and companies to experiment with biometrics and other innovative technologies that can increase TSA’s security and efficiency efforts, while also improving passengers’ experience. Submissions will be accepted until January 28.
MarketsandMarkets is predicting that the global Image Recognition Market will double in the next five years, growing from $26.2 billion to $53 billion between 2020 and 2025. Those numbers represent a CAGR of 15.1 percent for the forecast period.