IRIS: Integrated Retinal Functionality in Image Sensors

Zihan Yin*, Md Abdullah Al Kaiser, Lamine Ousmane Camara, Mark Camarena, Maryam Parsa, Ajey Jacob, Gregory Schwartz, Akhilesh Jaiswal

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Neuromorphic image sensors draw inspiration from the biological retina to implement visual computations in electronic hardware. Gain control in phototransduction and temporal differentiation at the first retinal synapse inspired the first generation of neuromorphic sensors, but processing in downstream retinal circuits, much of which has been discovered in the past decade, has not been implemented in image sensor technology. We present a technology-circuit co-design solution that implements two motion computations—object motion sensitivity and looming detection—at the retina's output that could have wide applications for vision-based decision-making in dynamic environments. Our simulations on Globalfoundries 22 nm technology node show that the proposed retina-inspired circuits can be fabricated on image sensing platforms in existing semiconductor foundries by taking advantage of the recent advances in semiconductor chip stacking technology. Integrated Retinal Functionality in Image Sensors (IRIS) technology could drive advances in machine vision applications that demand energy-efficient and low-bandwidth real-time decision-making.

Original languageEnglish (US)
Article number1241691
JournalFrontiers in Neuroscience
Volume17
DOIs
StatePublished - 2023

Keywords

  • Looming Detection
  • circuit design
  • image sensor
  • neuromorphic sensor
  • object motion sensitivity
  • retina inspired sensor

ASJC Scopus subject areas

  • General Neuroscience

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