The "de-identification" system, which also works in live video, uses machine learning to modify the main facial features of a subject in a video.
This disidentification technology previously worked primarily for still images
San Francisco: The artificial intelligence (AI) research team in Facebook has developed a tool that allows the facial recognition system to mislead the incorrect identification of a person in a video, the media reported.
The "de-identification" system, which also works in live video, uses machine learning to change the facial characteristics of a subject in a video, according to a report published in VentureBeat on Friday.
"Face recognition can lead to a loss of privacy and face replacement technology can be misused to create misleading videos," reads an article explaining the company's approach, cited by VentureBeat.
This disidentification technology previously worked primarily for still images, reported The Verge.
"Recent global developments in facial recognition technology advances and abuse point to the need to understand de-identification methods, and our contribution is the only one that is suitable for video, including live video, and has a quality that exceeds by far the documentary methods., "said the paper.
The work is expected to be presented at the International Conference on Computer Vision (ICCV) in Seoul, South Korea next week.
The development comes at a time when Facebook is facing a $ 35 billion class action lawsuit for alleged misuse of facial recognition data in Illinois. A US court rejected Facebook's request to quash the lawsuit.
A panel of three Judges of the Ninth Circuit Circuit in San Francisco rejected Facebook's request to quash the lawsuit. The case would now go to trial unless the Supreme Court intervenes, TechCrunch reported last week.
This story was published from a news agency thread without text modification. Only the title has been changed.
This disidentification technology previously worked primarily for still images
San Francisco: The artificial intelligence (AI) research team in Facebook has developed a tool that allows the facial recognition system to mislead the incorrect identification of a person in a video, the media reported.
The "de-identification" system, which also works in live video, uses machine learning to change the facial characteristics of a subject in a video, according to a report published in VentureBeat on Friday.
"Face recognition can lead to a loss of privacy and face replacement technology can be misused to create misleading videos," reads an article explaining the company's approach, cited by VentureBeat.
This disidentification technology previously worked primarily for still images, reported The Verge.
"Recent global developments in facial recognition technology advances and abuse point to the need to understand de-identification methods, and our contribution is the only one that is suitable for video, including live video, and has a quality that exceeds by far the documentary methods., "said the paper.
The work is expected to be presented at the International Conference on Computer Vision (ICCV) in Seoul, South Korea next week.
The development comes at a time when Facebook is facing a $ 35 billion class action lawsuit for alleged misuse of facial recognition data in Illinois. A US court rejected Facebook's request to quash the lawsuit.
A panel of three Judges of the Ninth Circuit Circuit in San Francisco rejected Facebook's request to quash the lawsuit. The case would now go to trial unless the Supreme Court intervenes, TechCrunch reported last week.
This story was published from a news agency thread without text modification. Only the title has been changed.
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