Towards Always-on Event-based Cameras for Long-lasting Battery-operated Smart Sensor Nodes
| Autor: | Moritz Scherer, Alfio Di Mauro, Philipp Mayer, Michele Magno, Luca Benini |
|---|---|
| Přispěvatelé: | Scherer M., Mayer P., Di Mauro A., Magno M., Benini L. |
| Rok vydání: | 2021 |
| Předmět: |
Background subtraction
Video Graphics Array business.industry Bandwidth (signal processing) Real-time computing ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Motion detection Power budget Refresh rate Event-based Sensing Event-driven Processing Medicine Sensitivity (control systems) Image sensor business Embedded Processing Low-power Vision |
| Zdroj: | I2MTC |
| DOI: | 10.1109/i2mtc50364.2021.9460037 |
| Popis: | A recent and promising approach to minimize the power consumption of always-on battery-operated sensors is to perform “smart” detection of events to trigger processing. This approach effectively reduces the data bandwidth and power consumption at the system-level and increases the lifetime of sensor nodes. This paper presents an always-on, event-driven ultra-low-power camera platform for motion detection applications. The platform exploits an event-driven VGA imager that features a motion detection mode based on a tunable scene background subtraction algorithm and a grayscale imaging mode. To reduce the power consumption in the motion detection mode, the platform implements a configurable refresh rate which allows for adaption to sensing requirements by trading off between power consumption and detection sensitivity. With accurate experimental evaluation the paper demonstrates that the proposed approach reduces the system-level power consumption for always-on motion sensing applications by switching between an active 15 FPS imaging mode, consuming 5.5 mW and a low-power motion detection mode consuming 1.8 mW. We further estimate the power consumption for a single-chip solution and show that the system-level power budget can be reduced to 2.4 mW in imaging, and $400\ \mu\mathrm{W}$ in detection mode. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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