Your browser doesn't support javascript.
loading
Metasurface- and PCSEL-Based Structured Light for Monocular Depth Perception and Facial Recognition.
Hsu, Wen-Cheng; Chang, Chia-Hsun; Hong, Yu-Heng; Kuo, Hao-Chung; Huang, Yao-Wei.
Afiliação
  • Hsu WC; Department of Photonics, College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.
  • Chang CH; Semiconductor Research Center, Hon Hai Research Institute, Taipei 11492, Taiwan.
  • Hong YH; Department of Photonics, College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.
  • Kuo HC; Semiconductor Research Center, Hon Hai Research Institute, Taipei 11492, Taiwan.
  • Huang YW; Department of Photonics, College of Electrical and Computer Engineering, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.
Nano Lett ; 24(5): 1808-1815, 2024 Feb 07.
Article em En | MEDLINE | ID: mdl-38198566
ABSTRACT
The novel depth-sensing system presented here revolutionizes structured light (SL) technology by employing metasurfaces and photonic crystal surface-emitting lasers (PCSELs) for efficient facial recognition in monocular depth-sensing. Unlike conventional dot projectors relying on diffractive optical elements (DOEs) and collimators, our system projects approximately 45,700 infrared dots from a compact 297-µm-dimention metasurface, drastically more spots (1.43 times) and smaller (233 times) than the DOE-based dot projector in an iPhone. With a measured field-of-view (FOV) of 158° and a 0.611° dot sampling angle, the system is lens-free and lightweight and boasts lower power consumption than vertical-cavity surface-emitting laser (VCSEL) arrays, resulting in a 5-10 times reduction in power. Utilizing a GaAs-based metasurface and a simplified optical architecture, this innovation not only addresses the drawbacks of traditional SL depth-sensing but also opens avenues for compact integration into wearable devices, offering remarkable advantages in size, power efficiency, and potential for widespread adoption.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article