Name
Title | ||
|---|---|---|
Energy-Efficient Motion-Triggered IoT CMOS Image Sensor With Capacitor Array-Assisted Charge-Injection SAR ADC |
Abstract | ||
|---|---|---|
We propose a low-power image sensor with a motion-based triggering feature for the Internet of Things (IoT) applications. The sensor supports the near-pixel [within analog-to-digital converter (ADC)] motion-detection mode run on a heavily subsampled frame (32
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20 pixels, while consuming only 1.7
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/frame) to trigger full-array capture only when a significant change has happened in the scene. Also, to maximize energy efficiency and image quality of the sensor, we propose a column-parallel capacitor array-assisted charge-injection SAR ADC that achieves 10b operation with readout noise of 226
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, which can be lowered to 104
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using multiple sampling. The ADC is highly energy efficient with best-in-class energy consumption of 63.6 pJ/frame/pixel and ADC Figure of Merit (FoM) of 14.4
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nJ in full-array capture mode. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/JSSC.2019.2939664 | IEEE Journal of Solid-State Circuits |
Keywords | Field | DocType |
Capacitors,Image sensors,Voltage control,Internet of Things,Sensor arrays,Calibration,Signal resolution | Topology,Capacitor,Image sensor,Efficient energy use,Computer science,Image quality,Electronic engineering,Figure of merit,Pixel,Successive approximation ADC,Calibration | Journal |
Volume | Issue | ISSN |
54 | 11 | 0018-9200 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kyo-jin Choo | 1 | 41 | 8.52 |
| Xu Li | 2 | 110 | 15.55 |
| Yejoong Kim | 3 | 276 | 31.29 |
| Ji-Hwan Seol | 4 | 2 | 1.74 |
| Xiao Wu | 5 | 11 | 3.75 |
| Dennis Sylvester | 6 | 5295 | 535.53 |
| David Blaauw | 7 | 8916 | 823.47 |