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Publication | Open Access

Hetero‐Integrated InGaAs Photodiode and Oxide Memristor‐Based Artificial Optical Nerve for In‐Sensor NIR Image Processing

25

Citations

22

References

2022

Year

TLDR

In‑sensor computing fuses data acquisition and processing within a single domain, reducing system footprint and energy, yet achieving both sensing and computing in each pixel remains challenging. This study demonstrates a focal‑plane array integrating a 1P‑1R artificial optical neuron that emulates retinal sensing, computing, and memory. The array uses a high‑responsivity InGaAs photodiode covering NIR signals and an HfO₂ memristor as an analog artificial synapse for computing and memorization. The fabricated array achieved ≈84 % accuracy in in‑sensor finger‑vein identification under NIR illumination and demonstrates broad applicability for computer vision, neuromorphic computing, and biomedical engineering.

Abstract

Abstract In‐sensor computing is an emerging architectural paradigm that fuses data acquisition and processing within a sensory domain. The integration of multiple functions into a single domain reduces the system footprint while it minimizes the energy and time for data transfer between sensory and computing units. However, it is challenging for a simple and compact image sensor array to achieve both sensing and computing in each pixel. Here, this work demonstrates a focal plane array with a heterogeneously integrated one‐photodiode one‐resistor (1P‐1R)‐based artificial optical neuron that emulates the sensing, computing, and memorization of a biological retina system. This work employs an InGaAs photodiode featuring a high responsivity and a broad spectrum that covers near‐infrared (NIR) signals and employs an HfO 2 memristor as the artificial synapse to achieve the computing/memorization in an analog domain. Using the fabricated focal plane array integrated with an artificial neural network, this work performs in‐sensor image identification of finger veins driven by NIR light illumination (≈84 % accuracy). The proposed in‐sensor image computing architecture that broadly covers the NIR spectrum offers widespread application of focal plane array for computer vision, neuromorphic computing, biomedical engineering, etc.

References

YearCitations

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