Always-On CMOS Image Sensor for Mobile and Wearable Devices

被引:55
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 [J].
Choi, Jaehyuk ;
Park, Seokjun ;
Cho, Jihyun ;
Yoon, Euisik .
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 [J].
Chung, Meng-Ting ;
Lee, Chih-Lin ;
Yin, Chin ;
Hsieh, Chih-Cheng .
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 [J].
Freund, Y ;
Schapire, RE .
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 [J].
Hanson, Scott ;
Foo, ZhiYoong ;
Blaauw, David ;
Sylvester, Dennis .
IEEE JOURNAL OF SOLID-STATE CIRCUITS, 2010, 45 (04) :759-767
[18]   Face recognition using Extended Curvature Gabor classifier bunch [J].
Hwang, Wonjun ;
Huang, Xiangsheng ;
Li, Stan Z. ;
Kim, Junmo .
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 [J].
Kozlowski, LJ ;
Rossi, G ;
Blanquart, L ;
Marchesini, R ;
Huang, Y ;
Chow, G ;
Richardson, J ;
Standley, D .
IEEE JOURNAL OF SOLID-STATE CIRCUITS, 2005, 40 (12) :2766-2776