NeSe: Near-Sensor Event-Driven Scheme for Low Power Energy Harvesting Sensors

Document Type

Conference Proceeding

Publication Date

1-1-2023

Abstract

Digital technologies have made it possible to deploy visual sensor nodes capable of detecting motion events in the coverage area cost-effectively. However, background subtraction, as a widely used approach, remains an intractable task due to its inability to achieve competitive accuracy and reduced computation cost simultaneously. In this paper, an effective background subtraction approach, namely NeSe, for tiny energy-harvested sensors is proposed leveraging non-volatile memory (NVM). Using the developed software/hardware method, the accuracy and efficiency of event detection can be adjusted at runtime by changing the precision depending on the application's needs. Due to the near-sensor implementation of background subtraction and NVM usage, the proposed design reduces the data movement overhead while ensuring intermittent resiliency. The background is stored for a specific time interval within NVMs and compared with the next frame. If the power is cut, the background remains unchanged and is updated after the interval passes. Once the moving object is detected, the device switches to the high-powered sensor mode to capture the image.

Identifier

85167696281 (Scopus)

ISBN

[9781665451093]

Publication Title

Proceedings IEEE International Symposium on Circuits and Systems

External Full Text Location

https://doi.org/10.1109/ISCAS46773.2023.10181329

ISSN

02714310

Volume

2023-May

Grant

2216772

Fund Ref

National Science Foundation

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