Facial Scanning Is Making Gains in Surveillance
By CHARLIE SAVAGE, NYT
WASHINGTON — The federal government is making progress on developing a surveillance system that would pair computers with video cameras to scan crowds and automatically identify people by their faces, according to newly disclosed documents and interviews with researchers working on the project.
The Department of Homeland Security tested a crowd-scanning project called the Biometric Optical Surveillance System — or BOSS — last fall after two years of government-financed development. Although the system is not ready for use, researchers say they are making significant advances. That alarms privacy advocates, who say that now is the time for the government to establish oversight rules and limits on how it will someday be used.
There have been stabs for over a decade at building a system that would help match faces in a crowd with names on a watch list — whether in searching for terrorism suspects at high-profile events like a presidential inaugural parade, looking for criminal fugitives in places like Times Square or identifying card cheats in crowded casinos.
The automated matching of close-up photographs has improved greatly in recent years, and companies like Facebook have experimented with it using still pictures.
(More here.)
WASHINGTON — The federal government is making progress on developing a surveillance system that would pair computers with video cameras to scan crowds and automatically identify people by their faces, according to newly disclosed documents and interviews with researchers working on the project.
The Department of Homeland Security tested a crowd-scanning project called the Biometric Optical Surveillance System — or BOSS — last fall after two years of government-financed development. Although the system is not ready for use, researchers say they are making significant advances. That alarms privacy advocates, who say that now is the time for the government to establish oversight rules and limits on how it will someday be used.
There have been stabs for over a decade at building a system that would help match faces in a crowd with names on a watch list — whether in searching for terrorism suspects at high-profile events like a presidential inaugural parade, looking for criminal fugitives in places like Times Square or identifying card cheats in crowded casinos.
The automated matching of close-up photographs has improved greatly in recent years, and companies like Facebook have experimented with it using still pictures.
(More here.)
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