In this presentation, I will present the findings of a compact depth sensing system for LiDAR that is based on a metasurface. I will explain the underlying design concept of this metasurface, which utilizes structured light to expand the range of view angles for point cloud generation. Two separate cameras, capture the generated point cloud, and depth information is calculated using the stereo-matching method. Additionally, I will propose electrically adjustable metalens that can be easily incorporated into AR/VR systems and electronic systems. These metaphotonic devices offer potential applications in diverse fields such as mobile sensors, biometric security systems, autonomous driving, metaverse, and driver assistance.
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