Homeland Security to test BOSS facial recognition

The U.S. Department of Homeland Security will test its crowd-scanning facial recognition system, known as the Biometric Optical Surveillance System, or BOSS, at a junior hockey game this weekend, according to the Russian news agency RT.

With assistance from the Pacific Northwest National Laboratory, DHS will test its system at a Western Hockey League game in Washington state. The test will determine whether the system can distinguish the faces of 20 volunteers out of a crowd of nearly 6,000 hockey fans, to evaluate how successfully BOSS can locate a person of interest.

According to DHS, BOSS technology consists of two cameras capable of taking stereoscopic images of a face and a back end remote matching system. Stereoscopic images are two images of the same object, taken at slightly different angles that create an illusion of three-dimensional depth from two-dimensional images.

The cameras transfer the pair of images to the remote matching system by way of fiber optic or wireless technology. The system then processes and stores the two images into a 3-D signature, which is the mathematical representation of the stereo-pair images that the system uses for matching. Read more >>

New York Mayor: Domestic Drones and Face Recognition Inevitable

Michael Bloomberg - Cartoon (Photo credit: DonkeyHotey)

"It's scary, but what's the difference whether the drone is up in the air or on the building," Mayor Michael Bloomberg said today during his weekly appearance on the John Gambling radio show, when Gambling asked him his thoughts on the use of domestic drones by the NYPD or any other entity.

"I mean intellectually I'd have trouble making a distinction. And you know, you're gonna have face-recognition software. People are working on that. ... You can't keep the tides from coming in. We're gonna have more visibility and less privacy. I don't see how you stop that."

In December, the New York Times editorial board warned that "the unmanned aircraft that most people associate with hunting terrorists and striking targets in Pakistan are on the brink of evolving into a big domestic industry," and urged Congress to protect Americans' right to privacy. Read more >>

FBI launches $1 billion face recognition project

The Next Generation Identification programme will include a nationwide database of criminal faces and other biometrics

"FACE recognition is 'now'," declared Alessandro Acquisti of Carnegie Mellon University in Pittsburgh in a testimony before the US Senate in July.

It certainly seems that way. As part of an update to the national fingerprint database, the FBI has begun rolling out facial recognition to identify criminals.

It will form part of the bureau's long-awaited, $1 billion Next Generation Identification (NGI) programme, which will also add biometrics such as iris scans, DNA analysis and voice identification to the toolkit. A handful of states began uploading their photos as part of a pilot programme this February and it is expected to be rolled out nationwide by 2014. In addition to scanning mugshots for a match, FBI officials have indicated that they are keen to track a suspect by picking out their face in a crowd.

Another application would be the reverse: images of a person of interest from security cameras or public photos uploaded onto the internet could be compared against a national repository of images held by the FBI. An algorithm would perform an automatic search and return a list of potential hits for an officer to sort through and use as possible leads for an investigation. Read more >>

Stratfor emails reveal secret, widespread TrapWire surveillance system

The entrance to the Central Intelligence Agency headquarters (Photo credit: Wikipedia)

Former senior intelligence officials have created a detailed surveillance system more accurate than modern facial recognition technology — and have installed it across the US under the radar of most Americans, according to emails hacked by Anonymous.

Every few seconds, data picked up at surveillance points in major cities and landmarks across the United States are recorded digitally on the spot, then encrypted and instantaneously delivered to a fortified central database center at an undisclosed location to be aggregated with other intelligence. It’s part of a program called TrapWire and it's the brainchild of the Abraxas, a Northern Virginia company staffed with elite from America’s intelligence community.

The employee roster at Arbaxas reads like a who’s who of agents once with the Pentagon, CIA and other government entities according to their public LinkedIn profiles, and the corporation's ties are assumed to go deeper than even documented.

The details on Abraxas and, to an even greater extent TrapWire, are scarce, however, and not without reason. For a program touted as a tool to thwart terrorism and monitor activity meant to be under wraps, its understandable that Abraxas would want the program’s public presence to be relatively limited. But thanks to last year’s hack of the Strategic Forecasting intelligence agency, or Stratfor, all of that is quickly changing. Read more >>

Giant billboards may be scanning your face

Sarah Freishtat

The Washington Times

As you scan the face on that giant billboard, it may just be scanning your face right back. Increasingly sophisticated digital facial-recognition technology is opening new possibilities in business, marketing, advertising and law enforcement while exacerbating fears about the loss of privacy and the violation of civil liberties.

Facial recognition tech is rocketing ahead of laws that can control it

Add caption

"Many Americans don't realize they're already in a facial recognition database," Jennifer Lynch, a staff attorney with the Electronic Frontier Foundation, said Wednesday in a hearing on the technology. Addressing Senator Al Franken and the Subcommittee on Privacy, Technology, and the Law, Lynch pointed out that there is a painful disconnect between how little personal action is required to capture a face and how much personal information can be associated with it. All that, thanks to the Internet. As it is, Lynch said, "Americans can't take precautions to prevent the collection of their image."

Senator Franken called the hearing out of concern for the speed at which facial recognition technology is progressing as its use remains unregulated. Dr. Alessandro Acquisti, a professor at Carnegie Mellon University, said facial recognition could soon become a casual pursuit as computers get smaller, more powerful, and cloud computing costs come down. "Within a few years, real-time, automated, mass-scale facial recognition will be technologically feasible and economically efficient," Acquisti wrote in a statement; for companies, for friends, and for law enforcement.

Facial recognition has two characteristics that alarmed most members of the panel. First, faces (unlike other common information gatekeepers like passwords or PIN numbers) can't be changed for protection. Second, neither permission nor interaction is required for one person to capture the face of another. If they're in public, their visage is fair game. Facial recognition "creates acute privacy concerns that fingerprints do not" because of the ease of collection, Franken said. Read more >>

FBI to launch nationwide facial recognition service

Image via WikipediaThe FBI by mid-January will activate a nationwide facial recognition service in select states that will allow local police to identify unknown subjects in photos, bureau officials told Nextgov.

The federal government is embarking on a multiyear, $1 billion dollar overhaul of the FBI's existing fingerprint database to more quickly and accurately identify suspects, partly through applying other biometric markers, such as iris scans and voice recordings.

Often law enforcement authorities will "have a photo of a person and for whatever reason they just don't know who it is [but they know] this is clearly the missing link to our case," said Nick Megna, a unit chief at the FBI's criminal justice information services division. The new facial recognition service can help provide that missing link by retrieving a list of mug shots ranked in order of similarity to the features of the subject in the photo.

Today, an agent would have to already know the name of an individual to pull up the suspect's mug shot from among the 10 million shots stored in the bureau's existing Integrated Automated Fingerprint Identification System. Using the new Next-Generation Identification system that is under development, law enforcement analysts will be able to upload a photo of an unknown person; choose a desired number of results from two to 50 mug shots; and, within 15 minutes, receive identified mugs to inspect for potential matches. Users typically will request 20 candidates, Megna said. The service does not provide a direct match. More...