News on March 10, after smartphones entered the full-screen era, under-screen fingerprint unlocking has gradually become a standard feature of Android phones.
A few days ago, digital blogger "Dingjiao Digital" posted a screenshot of Huawei's ultrasonic fingerprint recognition patent, saying, "Since the patent cannot be bypassed and is not allowed to be bought, then invent one yourself."
It is understood that domestic mobile phone manufacturers currently use almost all ultrasonic solutions from supply chain Goodix Technology, but Goodix’s ultrasonic fingerprint identification solution cannot bypass Qualcomm’s patents. Due to sanctions, Huawei cannot use it.
The blogger also said in the comment area that the two giants locked up the patent for ultrasound and finally invented it themselves.
However, this year’s Huawei Mate 70 series may not be able to keep up with the self-developed ultrasonic fingerprint. If progress goes well, the Huawei P80 series and Huawei Mate 80 series in 2025 should be able to use it. .
It is reported that Huawei’s patent is called “An Ultrasonic Fingerprint Identification Module, System and Electronic Equipment” and was announced in November 2023. This patent can improve identification Accuracy of fingerprint information.
Currently, there are two main types of under-screen fingerprint recognition technologies, namely optical fingerprint recognition and ultrasonic fingerprint recognition.
The principle of ultrasonic fingerprint recognition is that your finger presses the screen, and the sensor under the screen emits ultrasonic waves to the area pressed by the finger.
When ultrasonic waves come into contact with the "ridges" and "valleys" of fingerprints, they are absorbed, penetrated, and reflected to varying degrees. Echoes of different energies will be generated and received by the sensor, thereby constructing a 3D fingerprint. image.
Compared with optical fingerprint recognition, ultrasonic fingerprint recognition has strong penetration, strong resistance to water stains and stains, high recognition rate, support for living body detection, and higher security.
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