Meizu 18 it will be a bomb, that's clear. Although the design will not surprise us that much, considering the one brought by its predecessor Meizu 17, what we will find inside the device will leave us speechless. Already yesterday we briefly talked about charging: The Pro model will integrate wireless charging even better than that of Oppo. Today the brand tells us that the next top of the range will be the first to integrate the latest generation ultrasonic fingerprint recognition technology: the Qualcomm Sonic 3D Sensor. We talked about it a few weeks ago. Let's see the details.
Meizu 18 will be a splinter to recognize our fingerprint: it is equipped with Qualcomm's latest proprietary sensor, the Sonic 3D Sensor 2 Gen
In accordance to revealed by the company itself, Meizu 18 it will be the first device after Samsung Galaxy S21 Ultra to integrate a new sensor for reading fingerprints. It goes without saying that the smartphone will have the reader integrated in the display and not to the side like some of the latest devices. However it is good to remember how much this new proprietary sensor of Qualcomm is better than the previous generation. Let's summarize in the details what makes it so special.
In general the technology offers one larger surface area of the sensor and faster processing to unlock smartphones even faster. Let's see some numbers: the sensor Qualcomm 3D Sonic Sensor Gen 2 measures well 8 x 8 mm compared to the 4 x 9 mm surface of the first generation model. This is the 77% more usable surface. However, this is not necessarily a malus, on the contrary: the largest surface allows greater accuracy. However, the more space a smartphone uses, the smaller the battery and other components become. But also here do not worry: the thickness of the sensor reaches only 0.2 mm
By combining the larger sensor with faster processing, Qualcomm promises that fingerprint scanning will be faster than 50%. In more technical terms this new ultrasonic fingerprint sensor allows you to capture up to 1.7 times more biometric data.
