Collision of high-resolution wide FOV metalens cameras and vision tasks.

ABSTRACT: Metalenses, with their compact form factor and unique optical capabilities, hold tremendous potential for advancing computer vision applications. In this work, we propose a high-resolution, large field-of-view (FOV) metalens intelligent recognition system, combining the latest YOLO framework, aimed at supporting a range of vision tasks. Specifically, we demonstrate its effectiveness in scanning, pose recognition, and object classification. The metalens we designed to achieve a 100° FOV while operating near the diffraction limit, as confirmed by experimental results. Moreover, the metalenses weigh only 0.1 g and occupy a compact volume of 0.04 cm³, effectively addressing the bulkiness of conventional lenses and overcoming the limitations of traditional metalens in spatial frequen

SUBMITTER: Li S 

PROVIDER: S-EPMC11831395 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature