TY - JOUR
T1 - NS-MD
T2 - Near-Sensor Motion Detection with Energy Harvesting Image Sensor for Always-On Visual Perception
AU - Nazhamaiti, Maimaiti
AU - Xu, Han
AU - Liu, Zheyu
AU - Chen, Yixuan
AU - Wei, Qi
AU - Wu, Xing
AU - Qiao, Fei
N1 - Publisher Copyright:
© 2004-2012 IEEE.
PY - 2021/9
Y1 - 2021/9
N2 - With the rapid development of Internet-of-Things (IoT), self-powered visual perception systems attract lots of attention. This brief presents a near-sensor motion detection architecture for the energy harvesting image sensor targeting always-on monitoring applications. Reconfigurable pixel structures are designed to harvest solar energy from the focal plane and conduct motion detection simultaneously. The near-sensor motion detection architecture combining analog-domain edge detection and digital-domain frame differencing technique is proposed to reduce the power consumption on data conversion significantly. A prototype chip of 32× 32 array size is fabricated with the standard 0.18mu.m CMOS process CMOS process. The measurement results show that the chip prototype achieves motion detection at a frame rate of 1894 fps consuming 16.43~μ {W} power. Furthermore, the chip harvests 1.263~μ {W} power under 100kLux illumination, and the analytical computation result shows that self-powered motion detection can be achieved at a frame rate of 58 fps.
AB - With the rapid development of Internet-of-Things (IoT), self-powered visual perception systems attract lots of attention. This brief presents a near-sensor motion detection architecture for the energy harvesting image sensor targeting always-on monitoring applications. Reconfigurable pixel structures are designed to harvest solar energy from the focal plane and conduct motion detection simultaneously. The near-sensor motion detection architecture combining analog-domain edge detection and digital-domain frame differencing technique is proposed to reduce the power consumption on data conversion significantly. A prototype chip of 32× 32 array size is fabricated with the standard 0.18mu.m CMOS process CMOS process. The measurement results show that the chip prototype achieves motion detection at a frame rate of 1894 fps consuming 16.43~μ {W} power. Furthermore, the chip harvests 1.263~μ {W} power under 100kLux illumination, and the analytical computation result shows that self-powered motion detection can be achieved at a frame rate of 58 fps.
KW - Always-on image sensor
KW - energy harvesting
KW - motion detection
KW - near-sensor computing
KW - near-zero power intelligent perception
UR - https://www.scopus.com/pages/publications/85111060655
U2 - 10.1109/TCSII.2021.3087840
DO - 10.1109/TCSII.2021.3087840
M3 - 文章
AN - SCOPUS:85111060655
SN - 1549-7747
VL - 68
SP - 3078
EP - 3082
JO - IEEE Transactions on Circuits and Systems II: Express Briefs
JF - IEEE Transactions on Circuits and Systems II: Express Briefs
IS - 9
M1 - 9449866
ER -