4.8 Article

A Meta-Device for Intelligent Depth Perception

Journal

ADVANCED MATERIALS
Volume 35, Issue 34, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adma.202107465

Keywords

deep learning; depth perception; light field imaging; meta-lens; neural networks; structured light

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This study demonstrates an intelligent and compact depth-sensing meta-device that is capable of measuring depth in various light levels. It utilizes a compact and multifunction stereo vision system with an array of 3600 achromatic meta-lenses to collect light field information and project structured light using a light source. The depth information can be analyzed and extracted using convolutional neural networks.
The optical illusion affects depth-sensing due to the limited and specific light-field information acquired by single-lens imaging. The incomplete depth information or visual deception would cause cognitive errors. To resolve this problem, an intelligent and compact depth-sensing meta-device that is miniaturized, integrated, and applicable for diverse scenes in all light levels is demonstrated. The compact and multifunction stereo vision system adopts an array with 3600 achromatic meta-lenses and a size of 1.2 x 1.2 mm(2) to measure the depth over a 30 cm range with deep-learning support. The meta-lens array can act as multiple imaging lenses to collect light field information. It can also work with a light source as an active optical device to project a structured light. The meta-lens array can serve as the core functional component of a light-field imaging system under bright conditions or a structured-light projection system in the dark. The depth information in both ways can be analyzed and extracted by the convolutional neural network. This work provides a new avenue for the applications such as autonomous driving, machine vision, human-computer interaction, augmented reality, biometric identification, etc.

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