人工智慧影像優化之屏下顯示超穎光學系統(2/3)

Full-screen and all-screen smartphones, with no buttons or borders to interruptthe pure design, have gradually become the mainstream of the cell phonemarket. For all-screen smartphones, all of the devices should be hidden behindthe screen, including front cameras, fingerprint sensors and so on. For example,Apple has received a patent for an under-screen fingerprint sensor based on anacoustic imaging system that would allow users to unlock an iPhone by touchinganywhere on the screen. Chinese smartphone makers, Xiaomi and OPPP, alsoproposed the front-facing camera hidden behind the screen. Although the firstrange for smartphones with under-screen cameras won’t deliver the best imagequality around. It is still a must-do for cell phone industries. This project aims todeliver a total solution for the under-screen camera based on meta-opticstechnology. The total track of the optical imaging system is limited by the finitethickness of a laptop and a smartphone. Therefore, a flat lens is essential for thisapplication. Here, we will deliver chip-bonding achromatic PB-phase metalens onCMOS sensors for under-screen imaging. The PB-phase metalens, which is aGaN all-dielectric metasurface, is utilized to capture the image of an object withtens centimeters in front of a screen. For improving the image quality of thecaptured under-screen images suffering from scattering, color rendering, shadow,and so on, a deep 3D Convolutional Neural Network model and trainingdatabased will be established as well. According to the above-mentionedpurpose, this three-year project is divided into three sub-project: Design of underscreenimaging system: from macro-, micro- to meta-optics; Nanofabrication oflow-cost nitride-based metalens on the glass; Al image optimization: databaseand training model.