A Solarpowered Video Sensor Node For Energy Efficient Multimodal Surveillance

• doi: 10.1109/DSD.2008.23
• title: A Solar-powered Video Sensor Node for Energy Efficient Multimodal Surveillance
• publisher: IEEE
• isbn: 978-0-7695-3277-6
• issn:
• partnum: 08PR3277
• rank: 929
• access_type: LOCKED
• content_type: Conferences
• abstract: Building an energy efficient wireless vision network for monitoring and surveillance is one of the major efforts in the sensor network community. We present a multi-modal video sensor node designed for low-power and low-cost video surveillance, traffic control and people detection based on wireless sensor networks. It is equipped with a solar energy harvesting unit, which extends the autonomy ofthe nodes considerably using a solar cell of 70 cm2 and exploits CMOS video camera and Pyroelectric InfraRed (PIR) sensors to reduce remarkably the power consumption of the system in absence of events. The on-board microprocessor enables image classification using algorithms basedon support vector machines (SVM). We describe hardware-software architecture of the video sensor node and characterization in terms of power consumption and accuracy. Finally simulation results demonstrate the effectiveness of multimodal video sensors powered by harvesting circuits.
• article_number: 4669279
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4669279
• html_url: https://ieeexplore.ieee.org/document/4669279/
• abstract_url: https://ieeexplore.ieee.org/document/4669279/
• publication_title: 2008 11th EUROMICRO Conference on Digital System Design Architectures, Methods and Tools
• conference_location: Parma, Italy
• conference_dates: 3-5 Sept. 2008
• publication_number: 4669199
• is_number: 4669200
• publication_year: 2008
• publication_date: 3-5 Sept. 2008
• start_page: 512
• end_page: 519
• citing_paper_count: 14
• citing_patent_count: 0
• download_count: 493
• insert_date: 20081107
• index_terms:
  • ieee_terms:
    • Multimodal sensors
    • Energy efficiency
    • Surveillance
    • Wireless sensor networks
    • Sensor phenomena and characterization
    • CMOS image sensors
    • Energy consumption
    • Support vector machines
    • Support vector machine classification
    • Buildings
  • dynamic_index_terms:
    • Efficient Surveillance
    • Video Sensor
    • Support Vector Machine
    • Infrared Imaging
    • Infrared Camera
    • Thermal Imaging
    • Thermal Camera
    • Power Consumption
    • Solar Cells
    • Energy Harvesting
    • Sensor Networks
    • Wireless Sensor Networks
    • Video Surveillance
    • Solar Energy Harvesting
    • Solar Harvesting
    • Training Set
    • Field Of View
    • Temperature Changes
    • Service Quality
    • Nighttime
    • Image Contrast
    • Maximum Power
    • Supercapacitors
    • Energy Availability
    • Photovoltaic Modules
    • Video Analysis
    • Video Classification
    • Sleep Mode
    • Presence Of People
    • Energy Storage Devices
    • Private Area
    • Dynamic Adjustment
    • Classification Function
    • Open Voltage
• isbn_formats:
  • format: Print ISBN, value: 978-0-7695-3277-6, isbnType: New-2005
• authors:
  • Author Name: Michele Magno
    Affiliation: DEIS, Università di Bologna, Bologna, Italy
    Author URL: https://ieeexplore.ieee.org/author/37601742500
    ID: 37601742500
    Order: 1
    Author Affiliations:
    • DEIS, Università di Bologna, Bologna, Italy
  • Author Name: Davide Brunelli
    Affiliation: DEIS, Università di Bologna, Bologna, Italy
    Author URL: https://ieeexplore.ieee.org/author/37543052100
    ID: 37543052100
    Order: 2
    Author Affiliations:
    • DEIS, Università di Bologna, Bologna, Italy
  • Author Name: Piero Zappi
    Affiliation: DEIS, Università di Bologna, Bologna, Italy
    Author URL: https://ieeexplore.ieee.org/author/37540455100
    ID: 37540455100
    Order: 3
    Author Affiliations:
    • DEIS, Università di Bologna, Bologna, Italy
  • Author Name: Luca Benini
    Affiliation: DEIS, Università di Bologna, Bologna, Italy
    Author URL: https://ieeexplore.ieee.org/author/37274443600
    ID: 37274443600
    Order: 4
    Author Affiliations:
    • DEIS, Università di Bologna, Bologna, Italy

Image Sensor

• sensor_type: CMOS
• resolution: SXGA
• 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 (SXGA), 30 fps (VGA)
• power_consumption: 120 mW (active), 23 mW (standby)

Applications & Benefits

• cell_imaging: Used for low-power, low-cost surveillance, traffic control, and people detection.
• benefits: Energy efficient surveillance with solar-powered, multimodal operations.

Supporting Organizations

• supported_by: IST Network of Excellence ARTIST DESIGN

Manuscript Details

• publication_date: 3-5 Sept. 2008

Relevancy Score

• score: 9
• missing_fields:
  • fill factor
  • quantum efficiency
  • readout speed
  • noise sources
  • analog-to-digital conversion techniques
  • microlenses
  • on-chip colour filters
  • global or rolling shutters
  • backside illumination

Processed JSON Filename

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