Machine Vision With Inp Based Floatinggate Photofieldeffective Transistors For Colormixed Image Recognition

• doi: 10.1109/JQE.2022.3169565
• title: Machine Vision With InP Based Floating-Gate Photo-Field-Effective Transistors for Color-Mixed Image Recognition
• publisher: IEEE
• isbn:
• issn: 1558-1713
• rank: 2972
• access_type: LOCKED
• content_type: Journals
• abstract: The success of artificial neural networks (ANNs) in machine vision techniques has driven hardware researchers to explore more efficient computing elements for energy-expensive operations such as vector-matrix multiplication (VMM). In this work, InP-based floating-gate photo-field-effective transistors (FG-PFETs) are demonstrated as computing elements that integrate both photodetection and initial signal processing at the sensor level. These devices are fabricated from semiconductor channels grown via a back-end CMOS compatible templated-liquid phase (TLP) approach. Individual devices are shown to exhibit programmable responsivity, mimicking the effect of a synapse connecting the photodetector to a neuron. Using these devices, a simulated optical neural network (ONN) where the experimentally measured performance of FG-PFETs is used as an input shows excellent image recognition accuracy for color-mixed handwritten digits.
• article_number: 9761917
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9761917
• html_url: https://ieeexplore.ieee.org/document/9761917/
• abstract_url: https://ieeexplore.ieee.org/document/9761917/
• publication_title: IEEE Journal of Quantum Electronics
• conference_location:
• conference_dates:
• publication_number: 3
• is_number: 9843922
• publication_year: 2022
• publication_date: Aug. 2022
• start_page: 1
• end_page: 7
• citing_paper_count: 4
• citing_patent_count: 0
• download_count: 533
• insert_date: 20220422
• index_terms:
  • ieee_terms:
    • Indium phosphide
    • Logic gates
    • III-V semiconductor materials
    • Optical pulses
    • Optical imaging
    • Machine vision
    • Dielectrics
  • author_terms:
    • Machine vision
    • optical neural network
    • phototransistors
    • indium phosphide
  • dynamic_index_terms:
    • Image Recognition
    • Machine Vision
    • Visual Navigation
    • Neural Network
    • Artificial Neural Network
    • Neural Network Model
    • Matrix Multiplication
    • Multiple Matrices
    • Matrix-vector Multiplication
    • Multiple Matrix
    • Optical Networks
    • Convolutional Neural Network
    • Good Response
    • Good Responders
    • Carrier Mobility
    • Electron Mobility
    • Hole Mobility
    • Pulse Wave
    • Pulse Train
    • Fermi Level
    • Excitatory Postsynaptic Currents
    • Excitatory Postsynaptic Potentials
    • Postsynaptic Currents
    • EPSPS
    • Softmax Function
    • Softmax Activation Function
    • Indium Tin Oxide
    • Indium-tin-oxide
    • Atomic Layer Deposition
    • Random Access Memory
    • Trap States
    • Response Of The Device
    • Excess Electrons
    • Resistive Random Access Memory
    • Resistive Random-access Memory
    • RRAM
    • Resistive RAM
    • ReRAM
    • Output Curves
    • IS Curve
    • Hole Concentration
    • Efficient Charge Transfer
    • Optical Stimulation
    • Synaptic Behavior
    • Synaptic Behaviour
    • Gate Dielectric
    • Gate Insulator
    • Charge Trapping
    • Charge-trapping
    • Transfer Curves
    • Device Structure
• authors:
  • Author Name: Jun Tao
    Affiliation: Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA
    Author URL: https://ieeexplore.ieee.org/author/37088436810
    ID: 37088436810
    Order: 1
    Author Affiliations:
    • Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA
  • Author Name: Juan Sanchez Vazquez
    Affiliation: Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA
    Author URL: https://ieeexplore.ieee.org/author/37089475285
    ID: 37089475285
    Order: 2
    Author Affiliations:
    • Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA
  • Author Name: Hyun Uk Chae
    Affiliation: Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA
    Author URL: https://ieeexplore.ieee.org/author/37088435954
    ID: 37088435954
    Order: 3
    Author Affiliations:
    • Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA
  • Author Name: Ragib Ahsan
    Affiliation: Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA
    Author URL: https://ieeexplore.ieee.org/author/37089143037
    ID: 37089143037
    Order: 4
    Author Affiliations:
    • Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA
  • Author Name: Rehan Kapadia
    Affiliation: Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA
    Author URL: https://ieeexplore.ieee.org/author/37409977600
    ID: 37409977600
    Order: 5
    Author Affiliations:
    • Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA

Image Sensor

• sensor_type: CMOS
• resolution: Not explicitly stated
• dynamic_range: Not explicitly stated
• pixel_size: Not explicitly stated
• dark_current: Not explicitly stated

Optical Data

• focal_length: Not explicitly stated
• aperture: Not explicitly stated
• field_of_view: Not explicitly stated
• distortion: Not explicitly stated

Performance Metrics

• frame_rate: Not explicitly stated
• signal_to_noise_ratio: Not explicitly stated
• sensitivity: Not explicitly stated
• shutter_speed: Not explicitly stated
• power_consumption: Not explicitly stated
• noise: Not explicitly stated

Applications & Benefits

• cell_imaging: Not explicitly stated
• benefits: Not explicitly stated

Supporting Organizations

• supported_by: U.S. National Science Foundation

Manuscript Details

• publication_date: Aug. 2022

Relevancy Score

• score: 3
• missing_fields:
  • resolution
  • dynamic_range
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise
  • cell_imaging
  • benefits

Processed JSON Filename

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