It’s 2020 now. Which is better, fingerprint recognition or facial recognition?

It’s 2020 now. Which is better, fingerprint recognition or facial recognition?

Eight years ago, mobile fingerprint recognition was still a new feature. The official release of iPhone 5s brought press-type fingerprint recognition into everyone's field of vision for the first time. Nowadays, mobile fingerprint recognition has become an indispensable standard feature, and can be seen in mobile phone models ranging from 1,000 yuan phones to 10,000 yuan flagship phones.

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Apple not only made fingerprint recognition a trend in the industry, but also achieved great success in the field of face recognition. After the iPhone X’s first face recognition function was launched, other mobile phone brands were madly learning from it.

Apple's improvement from fingerprint recognition to face recognition has significant benefits. The most obvious point is that the fingerprint hole is reduced, thereby increasing the screen-to-body ratio of the phone and making the full-screen design a reality.

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However, from the perspective of 2020, face recognition does not seem to be so popular. Nowadays, the Android camp has developed screen fingerprint recognition technology, which can truly achieve a perfect balance between screen-to-body ratio and fingerprint recognition. In addition, due to the position of the 3D structured light components, face recognition forces the iPhone to use a notch screen design.

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The most interesting thing is that Apple's latest iPhone SE completely subverted everyone's expectations for the new SE model. The face recognition that everyone expected was still used by the fingerprint recognition solution on the iPhone 8, which also shows that Apple has not really given up on fingerprint recognition.

Nowadays, fingerprint recognition technology has become very mature, and it can already achieve instant unlocking even in "tricky scenarios". The latest screen fingerprint technology now uses a fingerprint processing area on the CPU, first frame optimization, intelligent noise reduction and DSP acceleration technology in the software, and the experience is also outstanding.

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Of course, whether real users prefer fingerprint recognition or facial recognition, we still have to wait for everyone to comment and analyze and tell us what you think.

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