Since the launch of under-screen fingerprint recognition technology in 2017, major mobile phone manufacturers have been actively promoting under-screen fingerprint recognition solutions. The just-released oppo reno mobile phone also uses this fingerprint recognition solution and claims to be equipped with It has the industry’s highest level of new light-sensitive screen fingerprint technology. What’s so magical about this technology? Let’s find out today.
Does oppo reno support fingerprint unlocking?
Oppo reno’s light-sensitive screen fingerprint uses a 3P lens to reduce distortion and increase the amount of light, so that the fingerprint image obtained is more accurate. It also adopts a compensating light projection scheme to make the fingerprint image more uniform and clear. Fingerprint photos are clearer and recognition speed is faster. In the end, the Reno screen fingerprint unlocking success rate was optimized by 20-30% compared to the previous generation, and the unlocking speed was optimized by 28.5%.
The test found that no matter whether your hands are wet or dry, or whether the pressing force is strong or weak, Oppo Reno can easily recognize it and unlock it quickly. The secret starts with what under-screen fingerprint technology is. The so-called under-screen fingerprint technology is equivalent to "taking a picture" of your finger. In theory, the clearer the "photo", the more accurate the unlocking will be. However, because the humidity of the user's finger will change with the environment, for example, if the humidity of the finger is high outdoors, the quality of the fingerprint image "photographed" will be better, and the unlocking will be fast and accurate; but when the user is in an environment where the temperature is much lower than outdoor , the humidity of the finger will dry out, and the fingerprint image quality of the dry finger will be relatively poor, so the quality of the "photographed" fingerprint image will become worse, resulting in unlocking failure.
In order to solve this problem, oppo engineers introduced AI technology to solve the error rate caused by dry/wet finger environment switching. Through a large number of fingerprint image samples for algorithm learning, the specially trained algorithm can calculate the missing lines when the user inputs fingerprints with dry fingers, and intelligently repair unclear fingerprint photos into clear fingerprint photos. In terms of recognition rate, The improvement is obvious.
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