A 64 Times 64 Pixels Uwb Wireless Temporaldifference Digital Image Sensor

• doi: 10.1109/TVLSI.2011.2172470
• title: A 64 $\times$ 64 Pixels UWB Wireless Temporal-Difference Digital Image Sensor
• publisher: IEEE
• isbn:
• issn: 1557-9999
• rank: 484
• access_type: LOCKED
• content_type: Journals
• abstract: In this paper we present a low power temporal-difference image sensor with wireless communication capability designed specifically for imaging sensor networks. The event-based image sensor features a 64 × 64 pixel array and can also report standard analog intensity images. An ultra-wide-band radio channel allows to transmit digital temporal difference images wirelessly to a receiver with high rates and reduced power consumption. The sensor can wake up the radio when it detects a specific number of pixels intensity modulation, so that only significant frames are communicated. The prototype chip was implemented using a 2-poly 3-metal AMIS 0.5 μ m CMOS process. Power consumption is 0.9 mW for the sensor and 15 mW for radio transmission to distance of 4 m with rates of 1.3 Mbps and 160 fps.
• article_number: 6084858
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6084858
• html_url: https://ieeexplore.ieee.org/document/6084858/
• abstract_url: https://ieeexplore.ieee.org/document/6084858/
• publication_title: IEEE Transactions on Very Large Scale Integration (VLSI) Systems
• conference_location:
• conference_dates:
• publication_number: 92
• is_number: 6257480
• publication_year: 2012
• publication_date: Dec. 2012
• start_page: 2232
• end_page: 2240
• citing_paper_count: 30
• citing_patent_count: 1
• download_count: 1735
• insert_date: 20111118
• index_terms:
  • ieee_terms:
    • Wireless communication
    • Wireless sensor networks
    • Capacitors
    • Image sensors
    • Ultra wideband technology
    • Motion detection
    • CMOS image sensors
  • author_terms:
    • CMOS image sensor
    • motion detection
    • temporal-difference
    • ultra-wide-band (UWB)
    • wireless sensor network
  • dynamic_index_terms:
    • Digital Images
    • Temporal Differences
    • Temporal Deviation
    • Image Sensor
    • Camera Sensor
    • Digital Image Sensor
    • Power Consumption
    • Sensor Networks
    • Wireless Transmission
    • Radio Transmitters
    • CMOS Process
    • Temporal Images
    • Data Rate
    • Data Evaluation
    • Control Signal
    • Frame Rate
    • Threshold Voltage
    • Bit Error Rate
    • Bit Error Ratio
    • Motion Detection
    • Motion Sensors
    • Wireless Sensor
    • Wireless Sensor Networks
    • Bitstream
    • Binary Sequence
    • Wireless Power
    • Wireless Link
    • Radio Link
    • Scanning Approach
    • Discrete Cosine Transform
    • Security Cameras
    • Wireless Data
    • Receiver Side
    • Robot Vision
    • Image Compression
    • Synchronous Frame
    • Frame Synchronization
    • Data Recovery
    • Bluetooth
• authors:
  • Author Name: Shoushun Chen
    Affiliation: School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore
    Author URL: https://ieeexplore.ieee.org/author/37535877300
    ID: 37535877300
    Order: 1
    Author Affiliations:
    • School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore
  • Author Name: Wei Tang
    Affiliation: Electrical Engineering Department, Yale University, New Haven, CT, USA
    Author URL: https://ieeexplore.ieee.org/author/37085633088
    ID: 37085633088
    Order: 2
    Author Affiliations:
    • Electrical Engineering Department, Yale University, New Haven, CT, USA
  • Author Name: Xiangyu Zhang
    Affiliation: School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore
    Author URL: https://ieeexplore.ieee.org/author/37834458100
    ID: 37834458100
    Order: 3
    Author Affiliations:
    • School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore
  • Author Name: Eugenio Culurciello
    Affiliation: College of Engineering, Purdue University, West Lafayette, IN, USA
    Author URL: https://ieeexplore.ieee.org/author/37268496400
    ID: 37268496400
    Order: 4
    Author Affiliations:
    • College of Engineering, Purdue University, West Lafayette, IN, USA

Image Sensor

• sensor_type: CMOS
• resolution: 64x64 pixels
• dynamic_range: Not specified
• pixel_size: Not specified
• dark_current: 7.84 fA (estimated) per pixel

Optical Data

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

Performance Metrics

• frame_rate: 160 fps
• power_consumption: 0.9 mW for sensor; 15 mW for radio transmission
• noise: Fixed pattern noise of 3.83 mV at 80 fps

Applications & Benefits

• cell_imaging: Primarily for applications in assisted living monitors, security cameras, and robotic vision.
• benefits: Low power consumption and ability to transmit significant motion events wirelessly.

Supporting Organizations

• supported_by: NSF, DARPA, ONR, ACRF

Manuscript Details

• publication_date: Dec. 2012

Relevancy Score

• score: 10
• missing_fields:
  • dynamic_range
  • pixel_size
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed

Processed JSON Filename

request_2d28ff0c-d7c4-4a79-b532-6039cbba3a62-a_64_times__64_pixels_uwb_wireless_temporaldifference_digital_image_sensor.json