Qualcomm’s Fingerprint Sensors for Display is the first commercially available mobile solution to integrate ultrasound technology. While Qualcomm has made significant strides with this technology, Apple appears to be exploring ultrasonic fingerprint recognition for on-screen fingerprint scanning as well. Qualcomm's on-screen fingerprinting solution still needs more time before it can reach mass production levels, possibly not until next year. Rumors suggest that Qualcomm’s new generation of ultrasonic fingerprint sensors has granted vivo exclusive rights for a specific period.
At the 2017 Biometrics Technology and Applications Summit, Qualcomm unveiled its face recognition technology for the first time. As a global leader in mobile phone chips, Qualcomm has been heavily investing in security applications. Alongside unveiling its face recognition technology, Qualcomm also presented its ultrasonic fingerprint technology and related hardware token technology. By combining ultrasonic fingerprinting, face recognition, machine learning, and hardware tokens, Qualcomm has created a comprehensive suite of hardware and software security solutions tailored for mobile environments.
Let’s begin by examining the public face recognition technology. Qualcomm has released three distinct image processing modules. These include an iris module on the far left, a passive light module in the middle used for depth calculations, and a motion recognition module on the right.
Liu Xuehui, Senior Manager of Product Market at Qualcomm, noted that iris recognition hasn’t gained much traction in the mobile industry. After discussions with mobile phone manufacturers, he identified several challenges. The first issue lies in the complexity of the design, which makes the appearance less appealing. Additionally, there are cost concerns and user experience issues since users need to position their faces directly towards the device, which can be challenging under bright lighting conditions.
The passive light module essentially uses two cameras to capture images from slightly different angles, overlapping them to determine the distance between the object and the camera. This method is energy-efficient and doesn’t require an external light source. However, its performance suffers in low-light situations.
Rumors indicate that the iPhone 8 might incorporate this technology for deeper facial recognition. It will also feature an RGB human-eye recognition image and measure the distance between various points using infrared light spots. Together, these elements will form a 3D model, a technology that many manufacturers are likely to adopt moving forward.
The motion recognition module, while enabling active 3D depth modeling, struggles in extremely dark conditions. This module not only supports front-facing face recognition on smartphones but also enhances virtual reality (VR) experiences. For instance, when users wear VR headsets, this technology can rapidly construct the surrounding environment and overlay it, providing users with a heightened sense of presence.
Despite its limitations, the motion recognition module opens up possibilities in VR, simultaneous localization, and mapping. Its potential applications extend beyond just mobile phones, offering innovative solutions in areas like augmented reality and smart home devices.
As we continue to see advancements in biometric technologies, companies like Qualcomm are pushing boundaries to provide enhanced security and user-friendly experiences. Whether it’s through fingerprint sensors or face recognition, these innovations are reshaping how we interact with our digital world.
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