Accelerating The Sensing World Through Imaging Evolution
- doi: 10.1109/VLSIC.2016.7573458
-
title: Accelerating the Sensing world through imaging
evolution
- publisher: IEEE
- isbn: 978-1-5090-0636-6
- issn:
- rank: 1369
- access_type: LOCKED
- content_type: Conferences
-
abstract: The evolution of CMOS image sensors (CIS) and
the future prospect of a “Sensing” world utilizing advanced imaging
technologies promise to improve our quality of life by sensing
everything, everywhere, every time. Charge Coupled Device image sensors
replaced video camera tubes, allowing the introduction of compact video
cameras as consumer products. CIS now dominates the market for digital
still cameras created by its predecessor and, with the advent of
column-parallel ADCs and back-illuminated technologies, outperforms
them. CIS's achieve better signal to noise ratio, lower power
consumption, and higher frame rate. Stacked CIS's continue to enhance
functionality and user experience in mobile devices, a market that
currently comprises over several billion units per year. CIS imaging
technologies promise to accelerate the progress of a sensing world by
continuously improving sensitivity, extending detectable wave-lengths,
and further improving depth resolution and temporal resolution.
- article_number: 7573458
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7573458
-
html_url:
https://ieeexplore.ieee.org/document/7573458/
-
abstract_url:
https://ieeexplore.ieee.org/document/7573458/
-
publication_title: 2016 IEEE Symposium on VLSI Circuits
(VLSI-Circuits)
- conference_location: Honolulu, HI, USA
- conference_dates: 15-17 June 2016
- publication_number: 7569797
- is_number: 7573453
- publication_year: 2016
- publication_date: 15-17 June 2016
- start_page: 1
- end_page: 4
- citing_paper_count: 3
- citing_patent_count: 0
- download_count: 570
- insert_date: 20160922
-
index_terms:
-
ieee_terms:
- Cameras
- Robot sensing systems
- CMOS image sensors
- Charge coupled devices
- Signal resolution
-
dynamic_index_terms:
- Digital Camera
- Mobile Devices
- Portable Devices
- User Experience
- Video Camera
- Frame Rate
- Image Sensor
- Camera Sensor
- Low Power Consumption
- High Frame Rate
- High-resolution
- Signal Processing
- Image Quality
- System Software
- Packaging System
- Photodiode
- Analog-to-digital Converter
- Analog-to-digital
- Digital-to-analog Converter
- Metal Layer
- Self-driving
- Self-driving Cars
- Autonomous Cars
- Human Vision
- Human Visual Perception
- Image Synthesis
- Rendering Engine
- 3D Renderings
- High Dynamic Range
- Distance Information
- Peripheral Circuits
- Two-dimensional Information
- Small Pixel
- Future Sensors
- Camera Module
- Color Filter
-
isbn_formats:
-
format: Print on Demand(PoD) ISBN,
value: 978-1-5090-0636-6,
isbnType: New-2005
-
format: Electronic ISBN,
value: 978-1-5090-0635-9,
isbnType: New-2005
-
authors:
-
Author Name: Tetsuo Nomoto
Affiliation: Sony Semiconductor Solutions
Corporation, Kanagawa, Japan
Author URL:
https://ieeexplore.ieee.org/author/37389765000
ID: 37389765000
Order: 1
Author Affiliations:
- Sony Semiconductor Solutions Corporation, Kanagawa, Japan
-
Author Name: Yusuke Oike
Affiliation: Sony Semiconductor Solutions
Corporation, Kanagawa, Japan
Author URL:
https://ieeexplore.ieee.org/author/37267320700
ID: 37267320700
Order: 2
Author Affiliations:
- Sony Semiconductor Solutions Corporation, Kanagawa, Japan
-
Author Name: Hayato Wakabayashi
Affiliation: Sony Semiconductor Solutions
Corporation, Kanagawa, Japan
Author URL:
https://ieeexplore.ieee.org/author/37830445700
ID: 37830445700
Order: 3
Author Affiliations:
- Sony Semiconductor Solutions Corporation, Kanagawa, Japan
Image Sensor
- sensor_type: CMOS
- resolution: high resolution
- dynamic_range: high dynamic range
- pixel_size: small
- dark_current: low dark current
Optical Data
- focal_length: variable
- aperture: variable
- field_of_view: variable
- distortion: minimal
Performance Metrics
- frame_rate: high frame rate
- signal_to_noise_ratio: better than CCD
- sensitivity: high sensitivity
- shutter_speed: variable
- power_consumption: low power consumption
- noise: low noise levels
Applications & Benefits
-
cell_imaging: used for capturing detailed cell images
-
benefits: enhanced usability in smartphones, automotive
systems, and medical devices.
Supporting Organizations
-
supported_by: Sony Semiconductor Solutions Corporation
Manuscript Details
- publication_date: 15-17 June 2016
Relevancy Score
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