Always-On CMOS Image Sensor for Mobile and Wearable Devices

被引:49
作者
Choi, Jaehyuk [1 ]
Shin, Jungsoon [2 ]
Kang, Dongwu [2 ]
Park, Du-Sik [2 ]
机构
[1] Sungkyunkwan Univ, Dept Semicond Syst Engn, Suwon 440746, South Korea
[2] Samsung Elect, Samsung Adv Inst Technol, Suwon 448803, South Korea
关键词
Always-on; CMOS image sensor; CMOS imager; image sensor; low power; smart imaging; smart sensing; OF-INTEREST;
D O I
10.1109/JSSC.2015.2470526
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents a low-power always-on image sensor for mobile and wearable device applications. The sensor continuously captures images for smart sensing, such as face detection, eye tracking, and gesture recognition, and it provides high-resolution images for capturing pictures with a unified sensor. The sensor employs a switchable dual mode: always-on (AO) mode with low power consumption and photo-shooting (PS) mode with high signal-to-noise ratio. For dual-mode operation with high energy efficiency, we implemented dynamic voltage scaling that provides 0.9 V analog-digital supply voltage for the AO mode and 3.3 V analog-1.8 V digital supply voltage for the PS mode. For low-voltage operation in the AO mode, a conventional four-transistor pixel operates as a charge-shared pixel. In order to suppress power consumption and frequency in conventional single-slope analog-to-digital converters (ADC), two neighboring column-parallel ADCs are reconfigured to one successive-approximation ADC for low-voltage and low-frequency operation in the AO mode with negligible area overhead. The fabricated 640 x 480 pixel prototype sensor operates at 45.5 mu W (at 15 fps, 320 x 240) in the AO mode, which significantly extends battery life when performing always-on sensing.
引用
收藏
页码:130 / 140
页数:11
相关论文
共 35 条
  • [11] A 3.4-μW Object-Adaptive CMOS Image Sensor With Embedded Feature Extraction Algorithm for Motion-Triggered Object-of-Interest Imaging
    Choi, Jaehyuk
    Park, Seokjun
    Cho, Jihyun
    Yoon, Euisik
    [J]. IEEE JOURNAL OF SOLID-STATE CIRCUITS, 2014, 49 (01) : 289 - 300
  • [12] A 0.5 V PWM CMOS Imager With 82 dB Dynamic Range and 0.055% Fixed-Pattern-Noise
    Chung, Meng-Ting
    Lee, Chih-Lin
    Yin, Chin
    Hsieh, Chih-Cheng
    [J]. IEEE JOURNAL OF SOLID-STATE CIRCUITS, 2013, 48 (10) : 2522 - 2530
  • [13] Cootes T. F., 1998, Computer Vision - ECCV'98. 5th European Conference on Computer Vision. Proceedings, P484, DOI 10.1007/BFb0054760
  • [14] Deguchi J, 2013, ISSCC DIG TECH PAP I, V56, P494, DOI 10.1109/ISSCC.2013.6487830
  • [15] Drewes H., 2007, MOBILITY P 4 INT C M, P364, DOI [DOI 10.1145/1378063.1378122, 10.1145/1378063.1378122]
  • [16] A decision-theoretic generalization of on-line learning and an application to boosting
    Freund, Y
    Schapire, RE
    [J]. JOURNAL OF COMPUTER AND SYSTEM SCIENCES, 1997, 55 (01) : 119 - 139
  • [17] A 0.5 V Sub-Microwatt CMOS Image Sensor With Pulse-Width Modulation Read-Out
    Hanson, Scott
    Foo, ZhiYoong
    Blaauw, David
    Sylvester, Dennis
    [J]. IEEE JOURNAL OF SOLID-STATE CIRCUITS, 2010, 45 (04) : 759 - 767
  • [18] Face recognition using Extended Curvature Gabor classifier bunch
    Hwang, Wonjun
    Huang, Xiangsheng
    Li, Stan Z.
    Kim, Junmo
    [J]. PATTERN RECOGNITION, 2015, 48 (04) : 1247 - 1260
  • [19] Ijiri Y., 2006, Proceedings of the 7th International Conference on Mobile Data Management, MDM '06, P49, DOI DOI 10.1109/MDM.2006.138
  • [20] Pixel noise suppression via SoC management of tapered reset in a 1920 x 1080 CMOS image sensor
    Kozlowski, LJ
    Rossi, G
    Blanquart, L
    Marchesini, R
    Huang, Y
    Chow, G
    Richardson, J
    Standley, D
    [J]. IEEE JOURNAL OF SOLID-STATE CIRCUITS, 2005, 40 (12) : 2766 - 2776