Qualcomm Fingerprint Sensors for Display is the first commercial integrated mobile solution based on ultrasound technology. In addition to Qualcomm, Apple seems to be studying the use of ultrasonic fingerprint recognition technology to achieve on-screen fingerprint recognition. Qualcomm's on-screen fingerprinting solution has a certain distance to achieve mass production. It may be the next time to wait until next year. It is said that Qualcomm's new generation of ultrasonic fingerprint chips give vivo the first protection period.
Qualcomm unveiled its face recognition technology for the first timeWith the development of the mobile Internet and the Internet of Things, the demand for information security is increasing day by day, and applications such as payment have increased the demand for security. As a global leader in mobile phone chips, investment in security applications is not small. Qualcomm unveiled its face recognition technology for the first time at the 2017 Biometrics Technology and Applications Summit. In addition, Qualcomm also introduced the ultrasonic fingerprint technology and its associated hardware token technology. Through ultrasonic fingerprinting, face recognition, machine learning, and hardware tokens, Qualcomm has built a complete set of complete hardware and software security solutions for mobile phone environments.
First look at the public face recognition technology. Among them are three image processing modules released by Qualcomm. Mainly divided into three types of modules: the leftmost is the iris module, the middle is passive light for depth calculation, and the far right is motion recognition.
Liu Xuehui, senior manager of Qualcomm's product market, said that iris technology has not been pushed up in the mobile phone industry. Through communication with mobile phone manufacturers, he believes that the first reason is the difficulty of ID design, the appearance is difficult, the second reason is cost, and one is experience. Because it requires people to face the face when they use it, it will have some influence under strong light.
Passive light modules are actually two cameras that take two images with different angle differences and finally overlap. Then calculate the distance between the object and the camera. This has the advantage that it consumes less power and does not require an additional light source. However, efficiency is affected in the dark. 
It is rumored that iphone8 will use this technology to do deep recognition of faces. There will also be an RGB human eye recognition image, and the distance between the various points of the object will be measured by the infrared light spot. The two images together form a 3D model, which is also a technology that many manufacturers will adopt in the future.
The disadvantage of the motion recognition module is its low efficiency in the dark, especially in very poor light conditions. This module enables active 3D depth modeling, in addition to front-facing face recognition of mobile phones, VR, simultaneous positioning and map construction. Because the user wears the VR helmet, this technology can quickly build the surrounding environment and superimpose it. This way VR users will have a sense of presence.
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