Wsvssennet An Era Of Enhanced Vision Based Sensing Capability

• doi: 10.1109/ICCTD.2009.281
• title: WsVsSenNet: an era of enhanced vision based sensing capability
• publisher: IEEE
• isbn: 978-0-7695-3892-1
• issn:
• partnum: 09PR3892
• rank: 4015
• access_type: LOCKED
• content_type: Conferences
• abstract: Flexible and multi-adaptive platforms are always being appreciated by the people. In the field of Information Technology the wireless vision sensor network is one of the fastest growing segments. Due to their flexibility of networks and easily deployment in the field of businesses, educational establishments and households; this becomes an integral form of life. In recent years, we have seen the unparalleled research progress in wireless sensor network, which viable the emergence of enhanced nano sensors. Their multi functionality, small cost and less size always actuate their deployment over large number of applications. The deployment of the Wireless Vision Sensor Network [WsVsSenNet] in active monitoring field emergence the requirement of various sensor network protocols, algorithms and on board processing platforms. This paper deals with the continuous, interactive and integrative research efforts in the field of wireless sensor network for enhanced vision based applications. During the execution period, we have deployed the wireless sensor network in active monitoring field and found that the various on boards processing platform doesn't hold their grasp over the whole network. This paper provides a frame work for the emergence and enhancement of the wireless sensor network. The major design challenges, their solutions and various platform requirements of wireless sensor network are also been included in this paper. To make the discussion healthier various design implementation difficulties are also included in this paper. The low power CMOS imaging with enhanced vision capability brings the emergence of the new era in this direction.
• article_number: 5359695
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5359695
• html_url: https://ieeexplore.ieee.org/document/5359695/
• abstract_url: https://ieeexplore.ieee.org/document/5359695/
• publication_title: 2009 International Conference on Computer Technology and Development
• conference_location: Kota Kinabalu, Malaysia
• conference_dates: 13-15 Nov. 2009
• publication_number: 5359672
• is_number: 5359673
• publication_year: 2009
• publication_date: 13-15 Nov. 2009
• start_page: 383
• end_page: 387
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 83
• insert_date: 20091228
• index_terms:
  • ieee_terms:
    • Wireless sensor networks
    • CMOS image sensors
    • Intelligent sensors
    • Sensor phenomena and characterization
    • Monitoring
  • author_terms:
    • CMOS Imaging
    • Cyclops
    • Gateway
    • MICA mote
    • NesC
    • Stargate
    • TinyOS
    • Wireless Sensor Network
  • dynamic_index_terms:
    • Wireless Networks
    • Sensor Networks
    • Communication Protocol
    • Network Protocol
    • Transmission Protocol
    • Wireless Sensor
    • Wireless Sensor Networks
    • Vision Sensors
    • Efforts In The Field
    • Field Deployment
    • Low Resolution
    • Power Consumption
    • Base Station
    • Additional Lines
    • Image Sensor
    • Camera Sensor
    • Physical World
    • High Bandwidth
    • Wireless Link
    • Radio Link
    • Model Execution
    • Single-board Computer
    • Camera Module
• isbn_formats:
  • format: Print ISBN, value: 978-0-7695-3892-1, isbnType: New-2005
• authors:
  • Author Name: Jatan Saraf
    Affiliation: Department of Electronics & Comm. Engg., Medicaps Institute of Technology, Indore, India
    Author URL: https://ieeexplore.ieee.org/author/37086897944
    ID: 37086897944
    Order: 1
    Author Affiliations:
    • Department of Electronics & Comm. Engg., Medicaps Institute of Technology, Indore, India
  • Author Name: Siddarth Jain
    Affiliation: Dept. of Electronics & Comm. Engg., M.I.T.M., Indore, India
    Author URL: https://ieeexplore.ieee.org/author/37086902650
    ID: 37086902650
    Order: 2
    Author Affiliations:
    • Dept. of Electronics & Comm. Engg., M.I.T.M., Indore, India

Image Sensor

• sensor_type: CMOS
• resolution: CIF (352 x 288), CGA (640 x 480)
• dynamic_range: Not explicitly mentioned in the paper
• pixel_size: Not explicitly mentioned in the paper
• dark_current: Not explicitly mentioned in the paper

Optical Data

• focal_length: Not explicitly mentioned in the paper
• aperture: Not explicitly mentioned in the paper
• field_of_view: Not explicitly mentioned in the paper
• distortion: Not explicitly mentioned in the paper

Performance Metrics

• frame_rate: Not explicitly mentioned in the paper
• signal_to_noise_ratio: Not explicitly mentioned in the paper
• sensitivity: Not explicitly mentioned in the paper
• shutter_speed: Not explicitly mentioned in the paper
• power_consumption: 5 mA (microcontroller active) to 15 mA (during image capture)
• noise: Not explicitly mentioned in the paper

Applications & Benefits

• cell_imaging: Not explicitly mentioned in the paper
• benefits: Flexible and multi-adaptive platforms in various applications including business, education, and home deployment.

Supporting Organizations

• supported_by: Medicaps Institute of Technology, M.I.T.M.

Manuscript Details

• publication_date: 13-15 Nov. 2009

Relevancy Score

• score: 8
• missing_fields:
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • noise

Processed JSON Filename

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