NS-MD: Near-Sensor Motion Detection with Energy Harvesting Image Sensor for Always-On Visual Perception

Maimaiti Nazhamaiti, Han Xu, Zheyu Liu, Yixuan Chen, Qi Wei, Xing Wu, Fei Qiao*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

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.

Original languageEnglish
Article number9449866
Pages (from-to)3078-3082
Number of pages5
JournalIEEE Transactions on Circuits and Systems II: Express Briefs
Volume68
Issue number9
DOIs
StatePublished - Sep 2021
Externally publishedYes

Keywords

  • Always-on image sensor
  • energy harvesting
  • motion detection
  • near-sensor computing
  • near-zero power intelligent perception

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