The software of the infamous startup ClearView AI entered in the top 10 of nearly 100 facial recognition vendors in the US National Institute of Standards and Technology (NIST) test.
According to the report, the ClearView AI system performed less well in another version of a test that simulates the use of biometric authentication to provide access to buildings, for example, to identify employees.
Last month, the company showed satisfactory results in a so-called one-to-one test – the ability to match two different photographs of the same person, mimicking a face check like FaceID technology to unlock a smartphone.
According to CEO Hoan Ton-Tet, the positive results “opened up new opportunities for the sales team.”
The leader of the test was the Chinese startup SenseTime. The top ten suppliers also include solutions from Russian companies VisionLabs and NtechLab.
NIST has been testing facial recognition vendors for two decades. The authors of the report noted that during this time the technology has undergone an industrial revolution: algorithms have become more tolerant of poorly lit scenes and low quality images, as well as “poorly positioned objects.”
Ton-Tat previously reported that the ClearView AI database has grown to 10 billion images. The company is also working on a masked face recognition system.
Recall that in November, the Australian authorities demanded that ClearView AI stop collecting photographs of citizens and destroy existing data about them.
In April, a US senator proposed legislation to prohibit government agencies from buying biometric data from private companies without a court order.
In February, Canadian regulators accused Clearview AI of illegally collecting data about citizens and “recommended” to stop providing services in the country.
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The software of the infamous startup ClearView AI entered in the top 10 of nearly 100 facial recognition vendors in the US National Institute of Standards and Technology (NIST) test.
According to the report, the ClearView AI system performed less well in another version of a test that simulates the use of biometric authentication to provide access to buildings, for example, to identify employees.
Last month, the company showed satisfactory results in a so-called one-to-one test – the ability to match two different photographs of the same person, mimicking a face check like FaceID technology to unlock a smartphone.
According to CEO Hoan Ton-Tet, the positive results “opened up new opportunities for the sales team.”
The leader of the test was the Chinese startup SenseTime. The top ten suppliers also include solutions from Russian companies VisionLabs and NtechLab.
NIST has been testing facial recognition vendors for two decades. The authors of the report noted that during this time the technology has undergone an industrial revolution: algorithms have become more tolerant of poorly lit scenes and low quality images, as well as “poorly positioned objects.”
Ton-Tat previously reported that the ClearView AI database has grown to 10 billion images. The company is also working on a masked face recognition system.
Recall that in November, the Australian authorities demanded that ClearView AI stop collecting photographs of citizens and destroy existing data about them.
In April, a US senator proposed legislation to prohibit government agencies from buying biometric data from private companies without a court order.
In February, Canadian regulators accused Clearview AI of illegally collecting data about citizens and “recommended” to stop providing services in the country.
Subscribe to Cryplogger news on Telegram: Cryplogger AI – all the news from the world of AI!
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