Ultralow Power Motiontriggered Image Sensor For Distributed Wireless Sensor Network

• doi: 10.1109/ICSENS.2003.1279123
• title: Ultra-low power motion-triggered image sensor for distributed wireless sensor network
• publisher: IEEE
• isbn: 0-7803-8133-5
• issn:
• partnum: 03CH37498
• rank: 3925
• access_type: LOCKED
• content_type: Conferences
• abstract: This paper describes a motion-triggered CMOS image sensor. It uses low resolution photosensor array with an ultra low power data converter in the read out circuit. The analog motion sensor shares the same photosensors using an interleaved structure. The motion sensor triggers the digital imager and RF data transmission to the base station in case there are objects moving in the scene, otherwise, the system remains standby to save power. This design is specially optimized for very low power applications such as distributed wireless sensor network.
• article_number: 1279123
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1279123
• html_url: https://ieeexplore.ieee.org/document/1279123/
• abstract_url: https://ieeexplore.ieee.org/document/1279123/
• publication_title: SENSORS, 2003 IEEE
• conference_location: Toronto, ON, Canada
• conference_dates: 22-24 Oct. 2003
• publication_number: 8998
• is_number: 28562
• publication_year: 2003
• publication_date: 22-24 Oct. 2003
• start_page: 1141
• end_page: 1146 Vol.2
• citing_paper_count: 5
• citing_patent_count: 0
• download_count: 187
• insert_date: 20040405
• index_terms:
  • ieee_terms:
    • Image sensors
    • Wireless sensor networks
    • CMOS image sensors
    • Circuits
    • Sensor systems
    • Digital images
    • Radio frequency
    • Data communication
    • Base stations
    • Layout
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Wireless Sensor Networks
    • Ultra-low Power
    • Distributed Wireless Sensor Network
    • Digital Images
    • Photodetector
    • Base Station
    • Motion Detection
    • Motion Sensors
    • Low-power Applications
    • Digital Camera
    • Power Consumption
    • Pulse Width
    • Pulsewidth Modulation
    • Photocurrent
    • Acquisition Mode
    • Short Pulse
    • Threshold Voltage
    • Edge Detection
    • Microwave Power
    • Neighboring Pixels
    • Neighborhood Pixels
    • Successive Approximation
    • Output Bits
    • Charge Amplifier
    • Standby Mode
    • Light Density
• isbn_formats:
  • format: Print ISBN, value: 0-7803-8133-5, isbnType: Historical
• authors:
  • Author Name: Guangbin Zhang
    Affiliation: Electrical Engineering Department, University of Texas, Dallas, Richardson, TX, USA
    Author URL: https://ieeexplore.ieee.org/author/37087161126
    ID: 37087161126
    Order: 1
    Author Affiliations:
    • Electrical Engineering Department, University of Texas, Dallas, Richardson, TX, USA
  • Author Name: Tianhong Yang
    Affiliation: Electrical Engineering Department, University of Texas, Dallas, Richardson, TX, USA
    Author URL: https://ieeexplore.ieee.org/author/37087162094
    ID: 37087162094
    Order: 2
    Author Affiliations:
    • Electrical Engineering Department, University of Texas, Dallas, Richardson, TX, USA
  • Author Name: S. Gregori
    Affiliation: Electrical Engineering Department, University of Texas, Dallas, Richardson, TX, USA
    Author URL: https://ieeexplore.ieee.org/author/37267166600
    ID: 37267166600
    Order: 3
    Author Affiliations:
    • Electrical Engineering Department, University of Texas, Dallas, Richardson, TX, USA
  • Author Name: Jin Liu
    Affiliation: Electrical Engineering Department, University of Texas, Dallas, Richardson, TX, USA
    Author URL: https://ieeexplore.ieee.org/author/37087163049
    ID: 37087163049
    Order: 4
    Author Affiliations:
    • Electrical Engineering Department, University of Texas, Dallas, Richardson, TX, USA
  • Author Name: F. Maloberti
    Affiliation: Electrical Engineering Department, University of Texas, Dallas, Richardson, TX, USA
    Author URL: https://ieeexplore.ieee.org/author/37269864600
    ID: 37269864600
    Order: 5
    Author Affiliations:
    • Electrical Engineering Department, University of Texas, Dallas, Richardson, TX, USA

Image Sensor

• sensor_type: CMOS
• resolution: 64x64
• dynamic_range: 12OdB
• pixel_size: 12 x 12 µm
• dark_current: 0.71-1.4 e-/s

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

• frame_rate: 200kHz
• power_consumption: <35pW for digital imager, <20pW total for motion sensors
• noise: 5.7 e- analog, 4.0 e- digital

Applications & Benefits

• cell_imaging: Ideal for low-power imaging in applications like security and monitoring.
• benefits: Extremely low power consumption, flexible design for various applications in distributed wireless sensor networks.

Supporting Organizations

• supported_by: National Science Foundation project ECS-0225528.

Manuscript Details

• publication_date: 22-24 Oct. 2003

Relevancy Score

• score: 9
• missing_fields:
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed

Processed JSON Filename

request_150eec62-725f-4da9-a98b-2ca58cf965e0-ultralow_power_motiontriggered_image_sensor_for_distributed_wireless_sensor_network.json