JP2025502456A - 効率的なイメージセンサ - Google Patents

効率的なイメージセンサ Download PDF

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Publication number
JP2025502456A
JP2025502456A JP2024543313A JP2024543313A JP2025502456A JP 2025502456 A JP2025502456 A JP 2025502456A JP 2024543313 A JP2024543313 A JP 2024543313A JP 2024543313 A JP2024543313 A JP 2024543313A JP 2025502456 A JP2025502456 A JP 2025502456A
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Japan
Prior art keywords
neuron
image sensor
neural network
detector
output
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JP2024543313A
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Japanese (ja)
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JP2025502456A5 (https=
Inventor
ファン デル テンペル ウォード
ムラド クリスチャン
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VoxelSensors BV SRL
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VoxelSensors BV SRL
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Publication of JP2025502456A publication Critical patent/JP2025502456A/ja
Publication of JP2025502456A5 publication Critical patent/JP2025502456A5/ja
Pending legal-status Critical Current

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/70—SSIS architectures; Circuits associated therewith
    • H04N25/76—Addressed sensors, e.g. MOS or CMOS sensors
    • H04N25/77—Pixel circuitry, e.g. memories, A/D converters, pixel amplifiers, shared circuits or shared components
    • H04N25/772—Pixel circuitry, e.g. memories, A/D converters, pixel amplifiers, shared circuits or shared components comprising A/D, V/T, V/F, I/T or I/F converters
    • H04N25/773—Pixel circuitry, e.g. memories, A/D converters, pixel amplifiers, shared circuits or shared components comprising A/D, V/T, V/F, I/T or I/F converters comprising photon counting circuits, e.g. single photon detection [SPD] or single photon avalanche diodes [SPAD]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/70—SSIS architectures; Circuits associated therewith
    • H04N25/76—Addressed sensors, e.g. MOS or CMOS sensors
    • H04N25/77—Pixel circuitry, e.g. memories, A/D converters, pixel amplifiers, shared circuits or shared components
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/049—Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/067—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using optical means
    • G06N3/0675—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using optical means using electro-optical, acousto-optical or opto-electronic means
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/10—Image acquisition
    • G06V10/12—Details of acquisition arrangements; Constructional details thereof
    • G06V10/14—Optical characteristics of the device performing the acquisition or on the illumination arrangements
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/40—Extracting pixel data from image sensors by controlling scanning circuits, e.g. by modifying the number of pixels sampled or to be sampled
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/60—Noise processing, e.g. detecting, correcting, reducing or removing noise
    • H04N25/67—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to fixed-pattern noise, e.g. non-uniformity of response
    • H04N25/671—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to fixed-pattern noise, e.g. non-uniformity of response for non-uniformity detection or correction
    • H04N25/673—Noise processing, e.g. detecting, correcting, reducing or removing noise applied to fixed-pattern noise, e.g. non-uniformity of response for non-uniformity detection or correction by using reference sources
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N25/00—Circuitry of solid-state image sensors [SSIS]; Control thereof
    • H04N25/70—SSIS architectures; Circuits associated therewith
    • H04N25/79—Arrangements of circuitry being divided between different or multiple substrates, chips or circuit boards, e.g. stacked image sensors
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • Signal Processing (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Evolutionary Computation (AREA)
  • General Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • General Health & Medical Sciences (AREA)
  • Mathematical Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • Molecular Biology (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Neurology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)
  • Transforming Light Signals Into Electric Signals (AREA)
JP2024543313A 2022-01-27 2023-01-19 効率的なイメージセンサ Pending JP2025502456A (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP22153557.8A EP4221188A1 (en) 2022-01-27 2022-01-27 Efficient image sensor
EP22153557.8 2022-01-27
PCT/EP2023/051204 WO2023143997A1 (en) 2022-01-27 2023-01-19 Efficient image sensor

Publications (2)

Publication Number Publication Date
JP2025502456A true JP2025502456A (ja) 2025-01-24
JP2025502456A5 JP2025502456A5 (https=) 2026-01-20

Family

ID=80121782

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2024543313A Pending JP2025502456A (ja) 2022-01-27 2023-01-19 効率的なイメージセンサ

Country Status (6)

Country Link
US (1) US20250159379A1 (https=)
EP (2) EP4221188A1 (https=)
JP (1) JP2025502456A (https=)
KR (1) KR20240144227A (https=)
CN (1) CN118541988A (https=)
WO (1) WO2023143997A1 (https=)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102024110274A1 (de) * 2024-04-12 2025-10-16 OQmented GmbH Verfahren und Vorrichtung zur Bereinigung einer Messung einer Tiefeninformation

Family Cites Families (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030076992A1 (en) * 2001-06-26 2003-04-24 Banish Michele R. Neural network based element, image pre-processor, and method of pre-processing using a neural network
US7262402B2 (en) * 2005-02-14 2007-08-28 Ecole Polytechnique Federal De Lausanne Integrated imager circuit comprising a monolithic array of single photon avalanche diodes
US7512573B2 (en) * 2006-10-16 2009-03-31 Alcatel-Lucent Usa Inc. Optical processor for an artificial neural network
US9070039B2 (en) * 2013-02-01 2015-06-30 Brian Corporation Temporal winner takes all spiking neuron network sensory processing apparatus and methods
US11289175B1 (en) * 2012-11-30 2022-03-29 Hrl Laboratories, Llc Method of modeling functions of orientation and adaptation on visual cortex
US20180278868A1 (en) * 2017-03-21 2018-09-27 The Charles Stark Draper Laboratory, Inc. Neuromorphic Digital Focal Plane Array
US11037968B2 (en) * 2019-04-05 2021-06-15 Waymo Llc Image sensor architecture
US11493387B2 (en) * 2020-03-12 2022-11-08 Spectricity Correction and calibration of spectral sensor output
JP2023525950A (ja) * 2020-05-07 2023-06-20 メタ プラットフォームズ テクノロジーズ， リミテッド ライアビリティ カンパニー スマートセンサ

Also Published As

Publication number Publication date
EP4338426A1 (en) 2024-03-20
EP4221188A1 (en) 2023-08-02
CN118541988A (zh) 2024-08-23
US20250159379A1 (en) 2025-05-15
KR20240144227A (ko) 2024-10-02
WO2023143997A1 (en) 2023-08-03

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