鈥淗ave you seen this girl?鈥� You can鈥檛 avoid her.
You鈥檙e waiting at the bus stop, looking at the billboard across the street, and she鈥檚 there. You see a tabloid on display at the grocery store, and she鈥檚 there. You turn on the television after dinner, and she鈥檚 there.
What you see is a pair of wide blue-green eyes staring out from the missing-child notice circulating like wildfire across every major news outlet. If you look closely, you鈥檒l see a dark mark in the girl鈥檚 left iris鈥攁 key marker of her identity.
The Internet buzzes with pictures of this blond-haired toddler. Some have the catch phrase 鈥淔ind Maddie鈥�; others ask, 鈥淲ho Took Our Maddie?鈥�
It鈥檚 2007, and the parents of Madeleine McCann have launched a global campaign in the midst of their worst nightmare: the disappearance of their three-year old daughter.
Just hours before she was gone, Madeleine played in the warm sands of Praia da Luz, Portugal. Her biggest worry? Probably that the turquoise tide would rush in and sweep away her sandcastle. But later that evening it was reported that she was abducted from her quiet bedroom where she slept wrapped in a pink blanket, next to her younger brothers.
Flash forward to today. Despite having become a household name in the immediate aftermath of her disappearance, she is still missing. Although the memories of Maddie鈥檚 face have faded from public memory, hasn鈥檛 stopped thinking about her case. The 一本道无码 research professor knows that technology might have uncovered what happened to her in the first few hours following her disappearance.
What he has been working on since then is an advanced facial and iris recognition system. Originally, this research was developed as a commission by the U.S. Department of Defense for military purposes. It鈥檚 now being used for broader purposes because of the adaptability of technology that is able to register the identity of any person within a 12-meter radius using their iris. It鈥檚 called the 一本道无码 .
The system has been impressive enough to catch the attention of the , which is an alliance between 一本道无码鈥檚 and the German-based , a global supplier of technology and services with 360,000 employees in 60 countries.
The institute was established as an entity within the Tepper School in 1990, through an endowment provided by the Bosch Group. The institute focuses on the improvement of international management through research, education, and collaboration. To that end, the institute sponsors academic research chairs and funds research projects and conferences. Earlier this year it celebrated its 25th anniversary. To honor the occasion, the Bosch Group gave two gifts to 一本道无码:
- $1 million toward 一本道无码鈥檚 , which is currently under construction on the Pittsburgh campus and will house the business school as well as major university initiatives such as entrepreneurship and technology-enhanced learning.
- $2.5 million to establish an endowed professorship in Security and Privacy Technologies for 一本道无码鈥檚 , which is a university-wide initiative that establishes public-private partnerships to develop secure computing and communications systems technologies.
Savvides鈥攁 research professor in the and 一本道无码 CyLab鈥攊s also the director of the . The high-tech space is crowded with computers, robots, and machines and populated with doctoral students working with Savvides to improve biometrics, the science of measuring and identifying people using facial and iris recognition systems. Their team is breaking new ground in the enhancement of existing biometric authentication technologies as well as the creation of revolutionary new ones. Savvides鈥� research is specifically geared toward improving the use of in biometric authentication systems.聽
Amid the coffee cups, 3D programming books, declassified forensics notes, and facial landmark recognition maps, the researchers don鈥檛 just write lines of code; they interact directly with the biometrics machines Savvides has created, constantly working to refine what he has designed, in part, to help find missing persons like Maddie.
Savvides mentions that there are a lot of 鈥淢addies鈥� out there, and he鈥檚 right. In the United States alone, more than 80,000 children are currently registered as missing. And according to the National Crime Information Center and the FBI, thousands of people are added to that list every year.
To demonstrate how the machines work, Savvides and his research students huddle around one of the looming bodies of metal and glass, which looks like it was taken straight out of a sci-fi movie. When Savvides moves at a distance from the large sleek robot, the machine immediately picks up on his body and zooms in on his face.
A target that analyzes the eye quickly captures a picture of his iris, which pops up on a connected computer screen. The system shifts from the picture to a split screen of black and green code, matching the image of his iris with the millions of individuals in the computer鈥檚 database in real time. Within a few seconds, it鈥檚 a match: Marios Savvides.
If the LRI system had existed in 2007 and been widely implemented, such as in airports, it could have helped provide timely information about where Maddie might have been taken.
Eight years ago, the system was originally developed for the Department of Defense for efficient military identification. Placed on a Humvee or a tank, the system could immediately identify any person within scanning distance as soldier, ally, or enemy.
Originally, the LRI system and other face enhancement technology they developed had mostly been tested in labs and on the battlefield. That changed on April 15, 2013:
At 9:30 AM, more than 23,000 runners are at the starting line for the 2013 Boston Marathon. Spectators, including many of the runners鈥� family and friends, start to line Boylston, a shop-lined street near the end of the marathon鈥檚 course. Hours later, three spectators die there and more than 250 runners and bystanders are injured when two bombs detonate.
Later that day, at 5 PM, the FBI releases to the public some low-resolution security camera images of an individual who may be the suspected bomber. But they don鈥檛 have the technology to make a positive ID and ask for assistance. Savvides and his team spring to action, and for the next four days attempt to reconstruct images of the suspected bomber. Savvides isn鈥檛 sure whether it鈥檚 possible; nevertheless, he and his team feverishly download and enhance images, and keep typing out code while land-marking points on faces, and modeling parameters.
Eventually, the team is able to put the low-res images through an algorithm they created. The system brings up an enhanced reconstruction of an 18 year-old man鈥擠zhokhar Tsarnaev鈥攚hich they send to the authorities at 2:42 AM, April 19. Several hours later, the identities of the suspects are released after they were being chased during a shootout in Cambridge, Mass. Savvides realizes that one of the suspects is Tsarnaev, which his team identified through the reconstruction of a poor low-res image.
鈥淗oly sh*t!鈥� is his reaction. 鈥淚 can鈥檛 believe we reconstructed this!鈥�
Savvides later demonstrated that he could have honed in on Tsarnaev from a database of a million images; and, in the process, his using code created on the fly. Since the Boston Marathon case, the center has been asked frequently by law-enforcement officials worldwide to help solve crimes. Savvides says the results must be kept confidential, but conclusions about their success rate can be drawn from the ongoing proliferation of requests. 鈥淚 get multiple pings from law enforcement requesting our help,鈥� he says.
As for Maddie and all the missing children, here鈥檚 what Savvides envisions: a future where almost every child who goes missing can be swiftly tracked down. By placing the long-range iris scanner he has invented in key locations such as airports and train stations, children reported abducted, such as Maddie, could be quickly located and law enforcement could then move in.
The scanner鈥檚 potential, explains Savvides, lies in the fact that it鈥檚 not disruptive. 鈥淵ou say to someone, 鈥楬ey, can you come up to this machine so we can scan your eye to see if your parents have abducted you?鈥� It鈥檚 too obtrusive. Our system helps to quickly identify people unobtrusively.鈥�
He has secured a patent for the system and believes that within the next decade it could be implemented worldwide. 鈥淥ne of the best parts about it is hearing the police say, 鈥榊ou can do this?!鈥� Like they鈥檙e in shock. You can鈥檛 beat that feeling,鈥� Savvides says, smiling.
His biometrics research has garnered much attention from, among others, The Atlantic, CNN, Discovery News, PBS NewsHour, NOVA, CBS鈥檚 60 Minutes, Reuters, and MIT Technology Review. In addition, the Edison Awards, an annual competition that honors excellence in innovation and product development, awarded , for this technology, which has been implemented in everything from corporate security systems to counterterrorism initiatives.
And, understandably, news about the was part of the 25th anniversary celebration held on the 一本道无码 campus, which was attended by executives from regional and global industry, faculty, alumni, and business partners.
Aside from all of the hype, Savvides says it鈥檚 incredibly gratifying to be involved with such meaningful research: 鈥淲e鈥檙e coming up with new algorithms to solve real-world problems. It鈥檚 this incredible feeling to know we are actually making a difference by developing technology that can find an abducted child or helping locate a bad guy.鈥�
