i-FlatCam: A 253 FPS, 91.49 J/Frame Ultra-Compact Intelligent Lensless Camera for Real-Time and Efficient Eye Tracking in VR/AR

Yang Zhao, Ziyun Li, Yonggan Fu, Yongan Zhang, Chaojian Li, Cheng Wan, Haoran You, Shang Wu, Xu Ouyang, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

We present a first-of-its-kind ultra-compact intelligent camera system, dubbed i-FlatCam, including a lensless camera with a computational (Comp.) chip. It highlights (1) a predict-then-focus eye tracking pipeline for boosted efficiency without compromising the accuracy, (2) a unified compression scheme for single-chip processing and improved frame rate per second (FPS), and (3) dedicated intra-channel reuse design for depth-wise convolutional layers (DW-CONV) to increase utilization. i-FlatCam demonstrates the first eye tracking pipeline with a lensless camera and achieves 3.16 degrees of accuracy, 253 FPS, 91.49 J/Frame, and 6.7mm×8.9mm×1.2mm camera form factor, paving the way for next-generation Augmented Reality (AR) and Virtual Reality (VR) devices.

Original languageEnglish (US)
Title of host publication2022 IEEE Symposium on VLSI Technology and Circuits, VLSI Technology and Circuits 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages108-109
Number of pages2
ISBN (Electronic)9781665497725
DOIs
StatePublished - 2022
Externally publishedYes
Event2022 IEEE Symposium on VLSI Technology and Circuits, VLSI Technology and Circuits 2022 - Honolulu, United States
Duration: Jun 12 2022Jun 17 2022

Publication series

NameDigest of Technical Papers - Symposium on VLSI Technology
Volume2022-June
ISSN (Print)0743-1562

Conference

Conference2022 IEEE Symposium on VLSI Technology and Circuits, VLSI Technology and Circuits 2022
Country/TerritoryUnited States
CityHonolulu
Period6/12/226/17/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

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