Posts Tagged ‘trulysecure’
November 8, 2019
GTI AI Acceleration Boosts Performance of Sensory’s TrulySecure Biometrics AI by 4X
MILPITAS, Calif., Nov. 7, 2019 /PRNewswire/ — AI accelerator chip and technology provider Gyrfalcon Technology Inc. today announced a partnership with AI solution provider Sensory to deliver low latency, high reliability embedded, machine learning capabilities on edge devices. Utilizing Sensory’s larger, higher-performance TrulySecure biometric AI models, Gyrfalcon’s AI acceleration technology increases biometric recognition performance by a factor of at least 4 to 8 times, providing users accurate, instant verification or authentication.
The right accelerators….
The right algorithms….
“Sensory’s face and voice biometrics have been implemented in many dozens of products that have shipped in billion-plus unit quantities. We have had lots of real-world feedback and a key focus for improving our TrulySecure technology has been delivering faster performance on lower cost hardware,” said Todd Mozer, Sensory’s CEO. “Our TrulySecure solution can run up to four times faster and provide a larger, more accurate model thanks to GTI’s AI accelerator chip.”
The right partnership….
“Working with customers, we’ve learned that AI implementations are optimized best when companies bring ‘best-in-breed’ solutions together,” said Kimble Dong, co-founder and CEO of Gyrfalcon Technology Inc. “Our accelerator chips enable great design choices for device makers, and partners like Sensory leverage the chips in ways that delight customers with the convenience of fast access combined with peace-of-mind of reliable biometric security.”
About Gyrfalcon Technology Inc.
SOURCE Gyrfalcon Technology Inc.
October 25, 2018
I just returned from the four-day Money 20/20 event in Las Vegas. The show covers the overlap of Money and Technology including FinTech, Payment, Ecommerce and more. It had tens of thousands of attendees, over 3,500 companies, and 400 startups and lots of starpower including Richard Branson, Shaquille O’Neil, Akon, and yours truly speaking on a biometrics panel.
I walked the show floor to find the latest news in embedded biometrics and to better understand the choice between embedded and cloud based biometrics in the fintech/money space. I was impressed by how biometrics has moved into the mainstream conversation. Before mentioning the other companies I talked to, I’ll kick off with Sensory, my company.
Sensory’s focus on AI and biometrics has always been on the embedded side. We believe in data privacy and we think the best way to accomplish that is through keeping in the hands and control of the user. On a less promotional front there is also a strategic reason we focus on embedded, and that’s because the industry giants are really good at cloud based and unconstrained AI tasks, and they often give it away for free, so we are focused on a place where the Googles and Amazons of the world can be our customers and not just our competitors. On the last day of Money 20/20, Sensory introduced TrulySecure 4.0, a fusion of face and voice biometrics with improved accuracy, speed, and support for 3D.
BioConnect sponsored one of the excellent lunches at the show. I spoke to Rob Douglas, Founder and CEO of BioConnect who said, “We are on the quest for rightful identity and what we offer is a market leading mobile biometric authentication solution for the enterprise. We provide a building block like a piece of LEGO that you can apply into all the infrastructure of an Enterprise to upgrade from passwords and key fobs to a world where you have higher assurance when you are conducting digital or physical transactions.” BioConnect has been in business for eight years and has 1,600 customers and at Money 20/20, the Bank of Montreal announced a partnership with BioConnect and IBM.
BioConnect has a strong belief in face authentication, but also works with other biometrics including voice, eye, fingerprint, and behavioral. According to Douglas, “We believe in both cloud and client and we support the FIDO approach, but there are use cases where the transport of the biometrics through a cloud-based infrastructure can make a lot of sense.”
The FIDO Alliance had a large area with alliance members touting their wares. FIDO (fast identity online) is “the World’s Largest Ecosystem for Standards-Based, Interoperable Authentication.” I spoke to Andrew Shikiar, the CMO of the FIDO Alliance. Local authentication with biometrics is key to the FIDO approach. “Whether you are storing passwords or biometrics, a central repository will be targeted, and will be breached to be used in nefarious ways.” When I asked Shikiar about the desire to share biometrics across platforms he said, “That’s typical of the type of use case that our technical working groups are working to address, while leveraging the FIDO standards”
Conor White, President Americas at Daon described Daon as “a human authentication company that provides technologies to allow customers to create and manage digital identities of their users in a way that’s advantageous in a risk and security perspective.” At the show they announced a partnership to expand from their base in mobile into the contact center.
Daon provides support to a wide cross section of biometrics and provides embedded solutions through the FIDO standard but can support cloud based biometrics when desired. Daon is seeing more customers getting comfortable with going from on premise to cloud based implementations but in the vast majority of cases, the biometrics still resides on the device even if the service is run in the cloud. White sits on the board of the FIDO alliance and sees the FIDO standard with embedded biometrics gaining ground.
Veritran is a software company based in Buenos Aires and developing innovative and secure digital banking platforms for the Latin American markets. They process over 4 billion banking transactions each year, and they are now expanding from Banking into other Enterprise markets and geographies beyond Latin America. At Mobile World Congress in February, they announced a new platform for secure application development, and at Money 20/20 ,they demonstrated some of the apps developed on this platform.
Like other companies, Veritran offers a mix of biometric modalities and in talking with Veritran’s CEO Marcelo Gonzales, I learned a very interesting reason as to why they prefer embedded biometrics instead of processing in the cloud. The Latin American customers buy prepaid plans with limited data. To keep their costs down, they must keep their data usage down, and with the biometrics stored and processed on the device, transactions can occur with minimal data costs.
There were a lot of other companies at Mobile 20/20. As a quick summary I would say a few important things stood out. Biometrics are definitely taking off as we all understand the problems with passwords. A variety of biometric modalities are offered but there does seem to be a preference and movement toward face authentication that can run cross platform without specialized hardware. Most vendors offer a choice between having the biometric data stored and processed on the device or in the cloud, but with the FIDO Alliance behind embedded and the clear advantages for security and privacy, the embedded usage case seems to be winning out.
May 17, 2017
A key measure of any biometric system is the inherent accuracy of the matching algorithm. Earlier attempts at face recognition were based on traditional computer vision (CV) techniques. The first attempts involved measuring key distances on the face and comparing those across images, from which the idea of the number of “facial features” associated with an algorithm was born. This method turned out to be very brittle however, especially as the pose angle or expression varied. The next class of algorithms involved parsing the face into a grid, and analyzing each section of the grid individually via standard CV techniques, such as frequency analysis, wavelet transforms, local binary patterns (LBP), etc. Up until recently, these constituted the state of the art in face recognition. Voice recognition has a similar history in the use of traditional signal processing techniques.
Sensory’s TrulySecure uses a deep learning approach in our face and voice recognition algorithms. Deep learning (a subset of machine learning) is a modern variant of artificial neural networks, which Sensory has been using since the very beginning in 1994, and thus we have extensive experience in this area. In just the last few years, deep learning has become the primary technology for many CV applications, and especially face recognition. There have been recent announcements in the news by Google, Facebook, and others on face recognition systems they have developed that outperform humans. This is based on analyzing a data set such as Labeled Faces in the Wild, which has images captured over a very wide ranging set of conditions, especially larger angles and distances from the face. We’ve trained our network for the authentication case, which has a more limited range of conditions, using our large data set collected via AppLock and other methods. This allows us to perform better than those algorithms would do for this application, while also keeping our size and processing power requirements under control (the Google and Facebook deep learning implementations are run on arrays of servers).
One consequence of the deep learning approach is that we don’t use a number of points on the face per se. The salient features of a face are compressed down to a set of coefficients, but they do not directly correspond to physical locations or measurements of the face. Rather these “features” are discovered by the algorithm during the training phase – the model is optimized to reduce face images to a set of coefficients that efficiently separate faces of a particular individual from faces of all others. This is a much more robust way of assessing the face than the traditional methods, and that is why we decided to utilize deep learning opposed to CV algorithms for face recognition.
Sensory has also developed a great deal of expertise in making these deep learning approaches work in limited memory or processing power environments (e.g., mobile devices). This combination creates a significant barrier for any competitor to try to switch to a deep learning paradigm. Optimizing neural networks for constrained environments has been part of Sensory’s DNA since the very beginning.
One of the most critical elements to creating a successful deep learning based algorithm such as the ones used in TrulySecure is the availability of a large and realistic data set. Sensory has been amassing data from a wide array of real world conditions and devices for the past several years, which has made it possible to train and independently test the TrulySecure system to a high statistical significance, even at extremely low FARs.
It is important to understand how Sensory’s TrulySecure fuses the face and voice biometrics when both are available. We implement two different combination strategies in our technology. In both cases, we compute a combined score that fuses face and voice information (when both are present). Convenience mode allows the use of either face or voice or the combined score to authenticate. TrulySecure mode requires both face and voice to match individually.
More specifically, Convenience mode checks for one of face, voice, or the combined score to pass the current security level setting. It assumes a willingness by the user to present both biometrics if necessary to achieve authentication, though in most cases, they will only need to present one. For example, when face alone does not succeed, the user would then try saying the passphrase. In this mode the system is extremely robust to environmental conditions, such as relying on voice instead of face when the lighting is very low. TrulySecure mode, on the other hand, requires that both face and voice meet a minimum match requirement, and that the combined score passes the current security level setting.
TrulySecure utilizes adaptive enrollment to improve FRR with virtually no change in FAR. Sensory’s Adaptive Enrollment technology can quickly enhance a user profile from the initial single enrollment and dramatically improve the detection rate, and is able to do this seamlessly during normal use. Adaptive enrollment can produce a rapid reduction in the false rejection rate. In testing, after just 2 adaptations, we have seen almost a 40% reduction in FRR. After 6 failed authentication attempts, we see more than 60% reduction. This improvement in FRR comes with virtually no change in FAR. Additionally, adaptive enrollment alleviates the false rejects associated with users wearing sunglasses, hats, or trying to authenticate in low-light, during rapid motion, challenging angles, with changing expressions and changing facial hair.
Guest post by Michael Farino
October 6, 2016
It’s always nice when Sensory wins an award. 2016 has been a special year for Sensory because we won more awards than any other year in our 23 year history!!
Check it out:
Sensory Earns Multiple Coveted Awards in 2016
Sensory Inc., a Silicon Valley company that pioneered the hands-free voice wakeup word approach, today, announced it has won over half a dozen awards in 2016 across its product-line, including awards for products, technologies, and people, covering deep learning, biometric authentication and voice recognition.
The awards presented to Sensory include the following:
CTIA Super Mobility 2016™, the largest wireless event in America, announced more than 70 finalists for its 10th annual CTIA Emerging Technology (E-Tech) Awards. Sensory was nominated in the category of Mobile Security and Privacy for its TrulySecure™ technology, along with Nokia, Samsung, SAP, and others. Sensory was presented with the First Place award for the category in a ceremony on September 2016 at the CTIA Las Vegas event.
Speech Technology magazine, the leading provider of speech technology news and analysis, had its 10th annual Speech Industry Awards to recognize the creativity and notable achievements of key influencers (Luminaries), major innovators (Star Performers), and impressive deployments (Implementation Awards). The editors of Speech Technology magazine selected 2016 award winners based on their industry contributions during the past 12 months. Sensory’s CEO, Todd Mozer, was awarded with a Luminary Award, making it his second time winning the prestigious award. Sensory as a company was awarded the Star Performer award along with IBM, Amazon and others.
Two well-known industry analyst firms issued reports highlighting Sensory’s industry contributions for its TrulyHandsfree product and customer leadership, offering awards for innovations, customer deployment, and strategic leadership.
“Sensory has an incredibly talented team of speech recognition and biometrics experts dedicated to advancing the state-of-the-art of each respective field. We are pleased that our TrulyHandsfree, TrulySecure and TrulyNatural product lines are being recognized in so many categories, across the various industries in which we do business,” said Todd Mozer, CEO of Sensory. “I am also thrilled that Sensory’s research and innovations in the deep learning space has been noticed, generating our company prestigious accolades and management recognition.”
September 9, 2016
We are pleased to announce that Sensory’s TrulySecure technology has earned first place in this year’s CTIA E-Tech Awards. We believe that this recognition serves as a testament to Sensory’s devotion to developing the best embedded speech recognition and biometric security technologies available.
For those of you unfamiliar with TrulySecure – TrulySecure is the result of more than 20 years of Sensory’s industry leading and award-winning experience in the biometric space. The TrulySecure SDK allows application developers concerned about both security and convenience to quickly and easily deploy a multimodal voice and vision authentication solution for mobile phones, tablets, and PCs. TrulySecure is highly secure, environment robust, and user friendly – offering better protection and greater convenience than passwords, PINs, fingerprint readers and other biometric scanners. TrulySecure offers the industry’s best accuracy at recognizing the right user, while keeping unauthorized users out. Sensory’s advanced deep learning neural networks are fine tuned to provide verified users with instant access to protected apps and services, without the all too common false rejections of the right user associated with other biometric authentication methods. TrulySecure features a quick and easy enrollment process – capturing voice and face simultaneously in a few seconds. Authentication is on-device and almost instantaneous.
TrulySecure provides maximum security against unauthorized attempts by mobile identity thieves from breaking into a protected mobile device, while ensuring the most accurate verification rates for the actual user. Compared to published data by Apple, the iPhone’s thumbprint reader offers about in 1:50K chance of a false accept of the wrong user, and the probability of the wrong user getting into the device gets higher when the user enrolls more than one finger. With TrulySecure, face and voice biometrics individually offer a baseline 1:50k false accept rate, but can each be made more secure depending on the security needs of the developer. When both face and voice biometrics are required for user authentication, TrulySecure is virtually impenetrable by anybody but the actual user. As a baseline, TrulySecure’s face+voice authentication offers a baseline of 1:100k False Accept Rate, but can be dialed in to offer as much as a 1:1Million False Accept Rate depending on security needs.
TrulySecure is robust to environmental challenges such as low light or high noise – it works in real-life situations that render lesser offerings useless. The proprietary speaker verification, face recognition, and biometric fusion algorithms leverage Sensory’s deep strength in speech processing, computer vision, and machine learning to continually make the user experience faster, more accurate, and more secure. The more the user uses TrulySecure, the more secure it gets.
TrulySecure offers ease-of-mind specifications: no special hardware is required – the solution uses standard microphones and cameras universally installed on today’s phones, tablets and PCs. All processing and encryption is done on-device, so personal data remains secure – no personally identifiable data is sent to the cloud. TrulySecure was also the first biometric fusion technology to be FIDO UAF Certified.
While we are truly honored to be the recipient of this prestigious award, we won’t rest on our laurels. Our engineers are already working on the next generation of TrulySecure, further improving accuracy and security, as well as refining the already excellent user experience.
Guest blog by Michael Farino
May 6, 2016
Rich Nass and Barbara Quinlan from Open Systems Media visited Sensory on their “IoT Roadshow”.
IoT is a very interesting area. About 10 years ago we saw voice controlled IoT on the way, and we started calling the market SCIDs – Speech Controlled Internet Devices. I like IoT better, it’s certainly a more popular name for the segment! ;-)
I started our meeting off by talking about Sensory’s three products – TrulyHandsfree Voice Control, TrulySecure Authentication, and TrulyNatural large vocabulary embedded speech recognition.
Although TrulyHandsfree is best known for its “always on” capabilities, ideal for listening for key phrases (like OK Google, Hey Cortana, and Alexa), it can be used a ton of other ways. One of them is for hands-free photo taking, so no selfie stick is required. To demonstrate, I put my camera on the table and took pictures of Barbara and Rich. (Normally I might have joined the pictures, but their healthy hair, naturally good looks, and formal attire was too outclassing for my participation).
There’s a lot of hype about IoT and Wearables and I’m a big believer in both. That said, I think Amazon’s Echo is the perfect example of a revolutionary product that showcases the use of speech recognition in the IoT space and am looking forward to some innovative uses of speech in Wearables!
Here’s the article they wrote on their visit to Sensory and an impromptu video showing TrulyNatural performing on-device navigation, as well as a demo of TrulySecure via our AppLock Face/Voice Recognition app.
Rich Nass, Embedded Computing Brand Director
If you’re an IoT device that requires hands-free operation, check out Sensory, just like I did while I was OpenSystems Media’s IoT Roadshow. Sensory’s technology worked flawlessly running through the demo, as you can see in the video. We ran through two different products, one for input and one for security.
February 22, 2016
Recently Peter O’Niel at FindBiometrics interviewed our CEO Todd Mozer about Sensory’s recent announcement of TrulySecure 2.0, check out the interview here: FindBiometrics
Summary: The industry is embracing biometrics faster than ever and many CE companies and app developers are embracing face and voice biometrics to improve user experience and bolster security. Face and voice offers significant advantages over other biometric modalities, notably when it comes to convenience, and particularly in the case of our TrulySecure technology, accuracy and security.
Sensory’s TrulySecure technology has evolved dramatically since its release and recently we announced TrulySecure 2.0 that actually utilizes real world usage data collected from our “AppLock by Sensory” app on the Google Play store. By applying what we learned with AppLock, we were able to adapt a deep learning approach using convolutional neural networks to improve the accuracy of our face authentication. Additionally, we significantly improved the performance of our speaker verification in real world conditions by training better neural nets based on the collected data.
Overall, we have been able to update TrulySecure’s already excellent performance to be even better! The solution is now faster, smarter and more secure, and is the most accurate face and voice biometrics solution available.
December 8, 2015
I saw an interesting press release titled “EyeVerify Gets Positive Feedback From Curious Users”. I know this company as a fellow biometrics vendor selling into some of the same markets as Sensory. I also knew that their Google Playstore rating hovered around a 3/5 rating while our AppLock app hits around a 4/5 rating, so I was curious about what this announcement meant. It made me think of the power of all the data in the Google Playstore, and I decided to take a look at biometric ratings in general to see if there were any interesting conclusions.
Here’s my methodology…I conducted searches for applications in Google Play that use biometrics to lock applications or other things. I wanted the primary review to relate to the biometric itself, so I excluded “pranks” and other apps that provided something other than biometric security. I also rejected apps with less than 5,000 downloads to insure that friends, employees and families weren’t having a substantive effect on the ratings. I ran a variety of searches for four key biometrics: Eyes, Face, Fingerprint and Voice.
I did not attempt to exhaust the entire list of biometric apps, I searched under a variety of terms until I had millions of downloads for each category with a minimum of 25,000 reviews for each category. The “eye” was the only biometric category that couldn’t meet this criteria, as I had to be satisfied with 6,884 reviews. Here’s a summary chart of my findings:
As you can see, this shows the total number of downloads, the total number of apps/companies, the number of reviews and the avg rating of reviews per biometric category. So, for example, Face had 11 applications with 1.75 million total downloads and just over 25,000 reviews with an average review rating of 3.89.
What’s most interesting to me about the findings is that it points to HIGHER RATINGS FOR EASIER TO USE BIOMETRICS. This is a direct correlation as Face comes in first and is clearly the easiest biometric to use Voice is somewhat more intrusive as a user must speak, and the rating drops by .16 to 3.73, though this segment does seem to receive the most consumer interest with more than 5-million downloads. Finger is today’s most common biometric but is often criticized by its 2-hand requirement and that it often fails, requiring users to re-swipe, consumer satisfaction with fingerprint is about 3.67. Eye came in last, albeit with the least data, but numbers don’t lie, and the average consumer rating for that biometric comes in at about 3.42. If you consider the large number of reviews in this study and the narrow range of review scores (which typically range from 2.5 to 4.5), the statistically significant nature becomes apparent.
The results were not really a surprise to me. When we first developed TrulySecure, it was based on the premise that users wanted a more convenient biometric without sacrificing security, so we focused on COMBINING the two most convenient biometrics (face and voice) to produce a combined security that could match the most stringent of requirements.
October 16, 2015
I saw a LinkedIn message to one of the biometrics groups in which I’m a member linking to a new video on biometrics:
I was quite surprised to see that I am actually in it!
It’s a great topic…Banks turning to biometrics. The video doesn’t talk too much about what’s really happening and why, so I’ll blog about a few salient points, worthy of understanding:
1) Passwords are on their deathbed. This is old news and everyone gets it, but worthy of repeating. Too easy to crack and/or too hard to remember
2) Mobile is everything, and mobile biometrics will be the entry point. Our mobile phones will be the tools to control and open a variety of things. Our phones will know who we are and keep track of the probability of that changing as we use them. Mobile banking apps will be accessed through biometrics and that will allow us to not only check balances, but pay or send money or speed ATM transactions.
3) EMV credit cards are here…Biometric credit confirmation is next! Did you get a smart card from your bank? Europay, Visa, and MasterCard decided to improve fraud by shifting fraud risk based on security implemented. Smart cards are now, biometrics will be added to aid fraud prevention.
4) It’s all about convenience & security. So much focus has been on security that convenience was often overlooked. There was a perception that you can’t have both! With Biometrics you actually can have an extremely fast and convenient solution that is highly accurate.
5) Layered biometrics will rule. Any one biometric or authentication approach in isolation will fail. The key is to layer a variety of authentication techniques that enhance the systems security but don’t hurt convenience. Voice and face authentication can be used together, passwords can be thrown on top if the biometric confirmation is unsure, tokens or fingerprint or iris scans can also be deployed if the security isn’t high enough. The key is knowing the accuracy of match and increasing the security to the desired security level in a stepped function so as to maximize user convenience.
October 1, 2015
Todd Mozer’s interview with Martin Wasserman on FutureTalk