• DocumentCode
    2061921
  • Title

    6.5 25.3μW at 60fps 240×160-pixel vision sensor for motion capturing with in-pixel non-volatile analog memory using crystalline oxide semiconductor FET

  • Author

    Ohmaru, Takuro ; Nakagawa, Takashi ; Maeda, Shuhei ; Okamoto, Yuki ; Kozuma, Munehiro ; Yoneda, Seiichi ; Inoue, Hiroki ; Kurokawa, Yoshiyuki ; Ikeda, Takayuki ; Ieda, Yoshinori ; Yamade, Naoto ; Miyairi, Hidekazu ; Ikeda, Makoto ; Yamazaki, Shunpei

  • Author_Institution
    Semicond. Energy Lab., Kanagawa, Japan
  • fYear
    2015
  • fDate
    22-26 Feb. 2015
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    A vision sensor used to capture motion must operate with very low power when used in sensor networks where power is very limited. Frame-based [1] and event-driven [2,3] vision sensors have been reported. The former captures motion from the difference between captured data of a previous frame and that of a current frame; thus, it is difficult to capture motion of a slowly moving object. An event-driven sensor captures motion of a slowly moving object; however, its pixel configuration is complicated, and it is difficult to perform both motion capturing and image capturing. In this paper, we report a vision sensor for motion capturing having in-pixel non-volatile analog memory utilizing a c-axis aligned crystalline In-Ga-Zn oxide (CAAC-IGZO), a crystalline oxide semiconductor based FET that demonstrates very low off-state current [4] and retains captured data of a given reference frame. Although an electronic global shutter image sensor with improved floating diffusion (FD) charge retention characteristics is reported in [5], our vision sensor realizes normal global shutter and motion capturing depending on the presence or absence of differences with respect to a given reference frame in each pixel. The sensor has 3 modes: an imaging mode to output captured data in pixels, a motion-capturing mode to process differential data using an analog processor, and a standby mode to reduce power after motion capturing for each frame. Power consumption is reduced by operating only circuit blocks needed for each mode. The sensor (240×160 pixels), fabricated by a 0.5μm CAAC-IGZO FET/0.18μm p-channel Si FET (no n-channel Si FET) hybrid process shows power consumption of 25.3μW and 1.88μW at 60fps in the motion-capturing and standby modes, respectively, which equal 1/140th and 1/2000th of the power consumption of the imaging mode.
  • Keywords
    CMOS image sensors; II-VI semiconductors; computer vision; elemental semiconductors; field effect transistors; gallium compounds; image capture; indium compounds; motion estimation; random-access storage; silicon; wide band gap semiconductors; zinc compounds; CAAC-IGZO FET; InGaZnO-Si; analog processor; charge retention characteristics; crystalline oxide semiconductor FET; differential data process; electronic global shutter image sensor; event driven vision sensor; floating diffusion; frame-based vision sensor; hybrid process; image capture; imaging mode; in-pixel non-volatile analog memory; motion capture; motion capturing mode; off-state current; p-channel Si FET; power 25.3 muW; power consumption; size 0.5 mum; size 18 mum; standby mode; Field effect transistors; Imaging; Integrated circuits; Power demand; Silicon; Timing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Solid- State Circuits Conference - (ISSCC), 2015 IEEE International
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    978-1-4799-6223-5
  • Type

    conf

  • DOI
    10.1109/ISSCC.2015.7062954
  • Filename
    7062954