• DocumentCode
    2972490
  • Title

    A second generation 3D integrated feature-extracting image sensor

  • Author

    Zhang, Xiangyu ; Chen, Shoushun ; Culurciello, Eugenio

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2011
  • fDate
    28-31 Oct. 2011
  • Firstpage
    1933
  • Lastpage
    1936
  • Abstract
    This paper presents a second generation 3D integrated feature-extracting CMOS image sensor. This 64×96 pixel vision sensor was designed and fabricated using a 0.18 μm 3D FDSOI process. Each pixel implements a photodiode and computation circuits on three individual tiers, which are vertically stacked and connected through the 3D inter-tier vias. The photodiode is sited on the top tier with an optimized photo sensitivity and a high fill factor (~97%). The in-pixel analog memory and a parallel diffuser network allow this image sensor to store the previous frame image and perform a spatially smoothing operation. Hence, the proposed image sensor can deliver an intensity image, either the previous frame or the smoothed image. Using off-chip subtraction, image features including temporal motions and spatial contours can be easily extracted. Moreover, the power consumption for this image sensor is around 0.8mW at 100 fps. The low power consumption and feature extraction capability make this sensor appealing for the sensor network applications.
  • Keywords
    CMOS image sensors; feature extraction; photodiodes; silicon-on-insulator; three-dimensional integrated circuits; 3D CMOS FDSOI process; 3D integrated feature extracting image sensor; 3D inter-tier via; off chip subtraction; photodiode; second generation image sensor; size 0.18 mum; vision sensor; Arrays; Complexity theory; Image edge detection; Photodiodes; Semiconductor device measurement; Three dimensional displays; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensors, 2011 IEEE
  • Conference_Location
    Limerick
  • ISSN
    1930-0395
  • Print_ISBN
    978-1-4244-9290-9
  • Type

    conf

  • DOI
    10.1109/ICSENS.2011.6127291
  • Filename
    6127291