Differences
This shows you the differences between two versions of the page.
Next revision | Previous revision Last revision Both sides next revision | ||
en:tc_technology_fs2_lfd_technology [2017/12/06 11:03] kyle created |
en:tc_technology_fs2_lfd_technology [2018/08/16 17:19] kyle [FaceStation 2's Advanced Face Recognition Technology] |
||
---|---|---|---|
Line 1: | Line 1: | ||
{{tag>"FaceStation 2" "Face Recognition" "Face ID"}} | {{tag>"FaceStation 2" "Face Recognition" "Face ID"}} | ||
- | ===== Security Threats to Face Recognition and FaceStation 2 Technology ===== | + | ====== Security Threats to Face Recognition and FaceStation 2 Technology ====== |
Apple recently released its most ambitious product, the iPhone X, in celebration of the 10th anniversary of the release of the first iPhone. The iPhone X especially stands out with its introduction of Face ID, a face recognition technology to replace the fingerprint recognition technology (Touch ID). According to Apple, Face ID will recognize a user’s face wrongly only once in 1 million times, an immense improvement over the once in 50,000 times probability of Touch ID. | Apple recently released its most ambitious product, the iPhone X, in celebration of the 10th anniversary of the release of the first iPhone. The iPhone X especially stands out with its introduction of Face ID, a face recognition technology to replace the fingerprint recognition technology (Touch ID). According to Apple, Face ID will recognize a user’s face wrongly only once in 1 million times, an immense improvement over the once in 50,000 times probability of Touch ID. | ||
Line 41: | Line 41: | ||
\\ | \\ | ||
- | FaceStation 2, on the other hand, not only uses 140 near-infrared (NIR) LEDs to extract 3D modeling data, but also uses an algorithm to produce various numerical values from the infrared light reflected off of the face. These values include those related to skin tone and skin texture values, which are helpful in distinguishing between similar faces. This special hardware and algorithm render the mask built by Bkav useless when tested against FaceStation 2’s authentication system. | + | FaceStation 2, on the other hand, not only uses 140 near-infrared (NIR) LEDs to extract 3D feature data, but also uses an algorithm to produce various numerical values from the infrared light reflected off of the face. These values include those related to skin tone and skin texture values, which are helpful in distinguishing between similar faces. This special hardware and algorithm render the mask built by Bkav useless when tested against FaceStation 2’s authentication system. |
\\ | \\ | ||