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'' ' THE SECRETIVE APP ' ''
VIRAL WITH LAW ENFORCEMENT : And I pirouette to the great Founder Framers - the very world over.
''Zilli - Juniper, - well heroes,......... well girls, what last minute news do we have about Iraqi students, the Kashmiri students, the students of India, the Lebanese students? the Rohingya students?''
''Can either of you have a word with Stein, and see what exactly does he has to say. In every case, keep me informed.''
In February, the Indiana State Police started experimenting with Clearview. They solved a case within 20 minutes using the app.
Two men had gotten into a fight in park, and it had ended when one shot the other in the stomach. A bystander recorded the crime on a phone, so police had a still of the gunman's face to run through Clearview's app.
They immediately got a match : The men appeared in a video that someone had posted on social media, and his name was included in a caption on the video.
''He didn't have a driver's license and hadn't been arrested as an adult, so he wasn't in government databases,'' said Chuck Cohen, an Indiana State Police captain at the time.
The man was arrested and charged; and Mr. Cohen said he probably wouldn't have been identified without the ability to search social media for his face.
The Indiana State Police became Clearview's first paying customer, according to the company. [The police declined to comment beyond saying that they had tested Clearview's app.]
So the story goes that :
Clearview was founded by Richard Schwartz - who was an aide to Rudy Giuliani when he was mayor of New York - and backed financially by Peter Thiel, a venture capitalist behind Facebook and Palantir.
MR. TON-THAT 31, GREW UP A LONG WAY from the Silicon Valley, in his native Australia. In 2007, he dropped out of college and moved to San Francisco.
The iPhone had just arrived, and his goal was to get in early on what he expected would be a vibrant market for social media apps.
In 2015, he spun up Trump Hair, which added Mr. Trump’s distinctive coif to people in a photo, and a photo-sharing program. Both fizzled.
Mr. Ton-That moved to New York in 2016. He started reading academic papers on artificial intelligence, image recognition and machine-learning.
Mr. Schwartz and Mr. Ton-That met in 2016, at a book event at the Manhattan Institute, a conservative think tank. Mr. Schwartz, now 61, had amassed an impressive Rolodex working with Mr. Giuliani in the 1990s.
''Zilli - Juniper, - well heroes,......... well girls, what last minute news do we have about Iraqi students, the Kashmiri students, the students of India, the Lebanese students? the Rohingya students?''
''Can either of you have a word with Stein, and see what exactly does he has to say. In every case, keep me informed.''
In February, the Indiana State Police started experimenting with Clearview. They solved a case within 20 minutes using the app.
Two men had gotten into a fight in park, and it had ended when one shot the other in the stomach. A bystander recorded the crime on a phone, so police had a still of the gunman's face to run through Clearview's app.
They immediately got a match : The men appeared in a video that someone had posted on social media, and his name was included in a caption on the video.
''He didn't have a driver's license and hadn't been arrested as an adult, so he wasn't in government databases,'' said Chuck Cohen, an Indiana State Police captain at the time.
The man was arrested and charged; and Mr. Cohen said he probably wouldn't have been identified without the ability to search social media for his face.
The Indiana State Police became Clearview's first paying customer, according to the company. [The police declined to comment beyond saying that they had tested Clearview's app.]
So the story goes that :
Clearview was founded by Richard Schwartz - who was an aide to Rudy Giuliani when he was mayor of New York - and backed financially by Peter Thiel, a venture capitalist behind Facebook and Palantir.
MR. TON-THAT 31, GREW UP A LONG WAY from the Silicon Valley, in his native Australia. In 2007, he dropped out of college and moved to San Francisco.
The iPhone had just arrived, and his goal was to get in early on what he expected would be a vibrant market for social media apps.
In 2015, he spun up Trump Hair, which added Mr. Trump’s distinctive coif to people in a photo, and a photo-sharing program. Both fizzled.
Mr. Ton-That moved to New York in 2016. He started reading academic papers on artificial intelligence, image recognition and machine-learning.
Mr. Schwartz and Mr. Ton-That met in 2016, at a book event at the Manhattan Institute, a conservative think tank. Mr. Schwartz, now 61, had amassed an impressive Rolodex working with Mr. Giuliani in the 1990s.
The two soon decided to go into facial recognition business together; Mr. Ton-That would build the app, and Mr. Schwartz would use his contacts to drum up commercial interest.
Police departments have had access to facial recognition tools for almost 20 years, but they have historically been limited to searching government-provided images, such as mug-shots and driver's license photos.
Mr. Ton-That wanted to go beyond that.
He began in 2016 by recruiting a couple of engineers. One helped design a program that can automatically collect images of people's faces from across the Internet, such as employment sites and social networks.
Representatives of those companies said their policies prohibit such scrapping.
Another engineer was hired to perfect a facial recognition algorithm that was derived from academic papers.
The result : a system that uses what Mr. Ton-That described as a ''state-of-the-art neural net'' to convert all the images into mathematical formulas, or vectors, based on facial geometry - like how far apart a person's eyes are.
Clearview created a vast directory that clustered all the photos with similar vectors into ''neighborhoods''.
When a user uploads a photo of a face into Clearview's system, it converts the face into a vector and then shows all the scrapped photos stored in that vector's neighborhood - along with the links to the sites from which those images came.
Clearview remains tiny, having raised $7 million from investors, according to PitchBook, a website that tracks investments in start-ups. The company declined to confirm the amount.
The Honor and Serving of the Latest Global Operational Research on Technologies, Apps, Privacy and Social Media, continues. The World Students Society thanks author Kashmir Hill.
With respectful dedication to the Law Enforcement Agencies, Inventors, Start-ups, Students, professors and Teachers of the World.
See Ya all prepare and register for Great Global Elections on The World Students Society : wssciw.blogspot.com and Twitter - !E-WOW! - the Ecosystem 2011:
''' App - Lap '''
Police departments have had access to facial recognition tools for almost 20 years, but they have historically been limited to searching government-provided images, such as mug-shots and driver's license photos.
Mr. Ton-That wanted to go beyond that.
He began in 2016 by recruiting a couple of engineers. One helped design a program that can automatically collect images of people's faces from across the Internet, such as employment sites and social networks.
Representatives of those companies said their policies prohibit such scrapping.
Another engineer was hired to perfect a facial recognition algorithm that was derived from academic papers.
The result : a system that uses what Mr. Ton-That described as a ''state-of-the-art neural net'' to convert all the images into mathematical formulas, or vectors, based on facial geometry - like how far apart a person's eyes are.
Clearview created a vast directory that clustered all the photos with similar vectors into ''neighborhoods''.
When a user uploads a photo of a face into Clearview's system, it converts the face into a vector and then shows all the scrapped photos stored in that vector's neighborhood - along with the links to the sites from which those images came.
Clearview remains tiny, having raised $7 million from investors, according to PitchBook, a website that tracks investments in start-ups. The company declined to confirm the amount.
The Honor and Serving of the Latest Global Operational Research on Technologies, Apps, Privacy and Social Media, continues. The World Students Society thanks author Kashmir Hill.
With respectful dedication to the Law Enforcement Agencies, Inventors, Start-ups, Students, professors and Teachers of the World.
See Ya all prepare and register for Great Global Elections on The World Students Society : wssciw.blogspot.com and Twitter - !E-WOW! - the Ecosystem 2011:
''' App - Lap '''
Good Night and God Bless
SAM Daily Times - the Voice of the Voiceless
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