People who know me will tell you that I’m an enthusiastic and optimistic person. It’s hard to get me down. If you see me at an industry event or tradeshow, I’m usually pumped up about something.
But even for me, this year’s Federal Identity Forum & Exposition (FedID 17), held September 12-14 in Washington, D.C., genuinely got me more excited for our industry than I’ve been in several years.
Formerly known as the Biometric Consortium Conference (BCC) and the Global Identity Summit (GIS) , the newly branded FedID is the U.S. federal government’s primary outreach and collaboration-building event with the worldwide identity community. The event has evolved over the years through a post-9/11 biometric boom to a slowdown in deployments, and now to a time when our industry is once again seeing a greater push toward mass adoption of identity matching technology.
NEC showcased its world-class biometrics solutions for multiple federal audiences and departments. We spanned a wide range of biometric technology, including fingerprint, face recognition, video surveillance and analysis, multimodal biometric enrollment, mobile fingerprint and forensic analysis. Where biometric identification is concerned, we had something for everyone.
This brings me to a list of favorites I’m calling the “six huge take-aways from FedID 17.” Here we go.
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Face is the Future – Nearly everyone who came to our booth wanted to see NeoFace Express, which is our rapid-access face recognition system. Express is currently being tested at major airports by U.S. Customers and Border Protection for the Department of Homeland Security’s Biometric Exit pilot program. Biometric Exit is the federal government’s way of tracking outgoing international travelers so that U.S. officials can get a better picture of how many non-Americans are overstaying their travel visas.
Conversations I had with people who saw the demo agreed that face recognition, when executed with a high degree of accuracy and precision, is the security technology of the immediate future. It’s fast and frictionless, it’s accurate, and it can help increase efficiency in airports where we all agree that faster queuing times are a good thing. That makes me excited.
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Apple’s Face ID is a Victory for the Identity Industry – Apple’s big fall product launch event coincided with the first day of FedID 17, and as I said in my panel talk that same day, I think the Apple iPhone X Face ID feature is going to be great for our industry. Assuming the technology typically works as well as it did the second time Apple’s Phil Schiller attempted to demo the feature, and I assume it will, people will ultimately adopt face recognition as a lawful and acceptable security form. As my friend Peter O’Neill at FindBiometrics pointed out, our industry saw a huge push in fingerprint ID acceptance when the Touch ID scanner was introduced on the iPhone 5S. Expect iPhone X to do the same for face.
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Robust Testing is Critical – In most of the conversations I had about face recognition at FedID, there typically came a time when someone said of face recognition, “Yes, I agree, but it’s got to work.” It seems like an obvious statement, but those of us in the industry can all agree that achieving a high degree of accuracy and performance for a face recognition algorithm takes a lot of hard work, investment, and patience. Federal officials require that any technology they use for biometric identity is accurate and responsive enough to return a match in less than 2 seconds, often times milliseconds. Lucky for NEC, our NeoFace algorithm is the consistent top performer in performance testing by the National Institute of Standards and Technology (NIST), which is part of the U.S. Department of Commerce.
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Humans Are Important – Perhaps this is another obvious statement, but there are actually two ways that human intervention is absolutely integral to the success of any identity matching technology. After all, we are talking about protecting people’s personal freedoms at multiple levels here.For starters, face recognition and today’s more advanced identity matching algorithms are actually a form of Artificial Intelligence (AI), and they must be taught how to identify people in a wide array of conditions. That means we (the humans) have to teach it (the technology) about adverse lighting conditions, a wide diversity in facial features, shades, anomalies and shapes, odd capture angles, and many other factors, in order to achieve a higher degree of matching accuracy. We know this from more than 40 years of experience in developing identity matching technology.
Secondly, any biometric technology, whether it’s fingerprint, iris or face recognition, will never be 100 percent accurate all of the time. Having a living, breathing, well-trained human being present to handle exceptions and errors in any automated identity matching process is critical to the long-term success of biometric technology. Just as fingerprinting has been around for more than 100 years in law enforcement, responsible and ethical use by humans will be key for biometric identity matching to be around for the next 100.
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Federal Officials are Moving Ahead – Obviously the world is not yet fully on-board with using biometric identity matching at every major checkpoint or public event, but it’s clear to me that the federal government is headed toward mass adoption at multiple levels. From the CBP Biometric Exit pilots to the U.S. Immigration and Customs Enforcement’s use of handheld fingerprint scanners and beyond, we haven’t seen the last of biometrics being deployed in our daily lives.
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Privacy is Important – It’s hard to talk about identity without addressing privacy in the same breath, and that was certainly the case in most of my conversations at FedID. People generally have concerns about privacy, specifically how long the government can retain biometric data for U.S. citizens and who will have access to your biometric data. Those conversations are playing out at the federal policy level as we speak. Every indication I’m seeing is that the policy discussions will not change the fact that face recognition is an extremely secure and convenient way to verify a person’s identity. Every face is different, and with the latest advances it has become very hard to fool the technology. No security or authentication technology is 100-percent perfect, but with great technology and the hard work of diligent humans, our face recognition comes pretty darn close.
It’s an exciting time to be in our industry. I look forward to continuing the healthy dialog and debate as we get closer to mass adoption within the federal government.

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