A 16Mw 320240 Pixel Vision Sensor For Event Detection

• doi: 10.1109/ISOCC.2017.8368787
• title: A 1.6mW 320×240 pixel vision sensor for event detection
• publisher: IEEE
• isbn: 978-1-5386-2286-5
• issn:
• rank: 214
• access_type: LOCKED
• content_type: Conferences
• abstract: This paper reports on a low-power vision sensor embedding a custom algorithm for event detection. Anomalous or suspicious motions occurring in the scene are isolated from the background by continuously monitoring the time variation of the pixel intensity with respect to two thresholds that are dynamically updated. Pixels whose intensity is out of the range defined by these thresholds are considered as a part of a possibly anomalous activity and they are called hot pixels. The sensor has been fabricated in a 110nm CMOS technology. It delivers grayscale images in QVGA format and related hot-pixel bitmaps at 15 fps with a power consumption of 1.6mW.
• article_number: 8368787
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8368787
• html_url: https://ieeexplore.ieee.org/document/8368787/
• abstract_url: https://ieeexplore.ieee.org/document/8368787/
• publication_title: 2017 International SoC Design Conference (ISOCC)
• conference_location: Seoul, Korea (South)
• conference_dates: 5-8 Nov. 2017
• publication_number: 8362894
• is_number: 8368771
• publication_year: 2017
• publication_date: 5-8 Nov. 2017
• start_page: 97
• end_page: 98
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 195
• insert_date: 20180531
• index_terms:
  • ieee_terms:
    • Vision sensors
    • Event detection
    • Program processors
    • Heuristic algorithms
    • Computer architecture
    • Gray-scale
    • Prototypes
  • author_terms:
    • Video surveillance
    • event detection
    • dynamic background subtraction
    • smart sensors
    • low-power vision
  • dynamic_index_terms:
    • Event Detection
    • Vision Sensors
    • Grayscale Images
    • Greyscale Images
    • Analog-to-digital Converter
    • Analog-to-digital
    • Digital-to-analog Converter
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-5386-2286-5, isbnType: New-2005
  • format: USB ISBN, value: 978-1-5386-2284-1, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-5386-2285-8, isbnType: New-2005
• authors:
  • Author Name: Yu Zou
    Affiliation: Fondazione Bruno Kessler, Center for Materials and Microsystems, Trento, Italy
    Author URL: https://ieeexplore.ieee.org/author/37086278701
    ID: 37086278701
    Order: 1
    Author Affiliations:
    • Fondazione Bruno Kessler, Center for Materials and Microsystems, Trento, Italy
  • Author Name: Massimo Gottardi
    Affiliation: Fondazione Bruno Kessler, Center for Materials and Microsystems, Trento, Italy
    Author URL: https://ieeexplore.ieee.org/author/37273443400
    ID: 37273443400
    Order: 2
    Author Affiliations:
    • Fondazione Bruno Kessler, Center for Materials and Microsystems, Trento, Italy
  • Author Name: Michela Lecca
    Affiliation: Fondazione Bruno Kessler, Center for Information and Communication Technology, Trento, Italy
    Author URL: https://ieeexplore.ieee.org/author/37085484709
    ID: 37085484709
    Order: 3
    Author Affiliations:
    • Fondazione Bruno Kessler, Center for Information and Communication Technology, Trento, Italy

Image Sensor

• sensor_type: CMOS
• resolution: 320x240
• dynamic_range: Not Specified
• pixel_size: Not Specified
• dark_current: Not Specified

Optical Data

• focal_length: Not Specified
• aperture: Not Specified
• field_of_view: Not Specified
• distortion: Not Specified

Performance Metrics

• frame_rate: 15 fps
• signal_to_noise_ratio: Not Specified
• sensitivity: Not Specified
• shutter_speed: Not Specified
• power_consumption: 1.6 mW
• noise: Not Specified

Applications & Benefits

• cell_imaging: Not Specified
• benefits: Low-power operation suitable for surveillance applications.

Supporting Organizations

• supported_by: EU H2020-FCT-2014 FORENSOR Project

Manuscript Details

• publication_date: 5-8 Nov. 2017

Relevancy Score

• score: 9
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • temporal noise
  • fixed-pattern noise
  • microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

request_8b2f410b-8abe-4f6b-b305-a948311c18f9-a_16mw_320240_pixel_vision_sensor_for_event_detection.json