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  4. Energy-Efficient Motion-Triggered IoT CMOS Image Sensor With Capacitor Array-Assisted Charge-Injection SAR ADC
 
research article

Energy-Efficient Motion-Triggered IoT CMOS Image Sensor With Capacitor Array-Assisted Charge-Injection SAR ADC

Choo, Kyojin David  
•
Xu, Li
•
Kim, Yejoong
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2019
IEEE Journal of Solid-State Circuits

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 × 20 pixels, while consuming only 1.7 μJ /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 μVrms , which can be lowered to 104 μVrms 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 μVrms⋅ nJ in full-array capture mode.

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Type
research article
DOI
10.1109/JSSC.2019.2939664
Author(s)
Choo, Kyojin David  
Xu, Li
Kim, Yejoong
Seol, Ji-Hwan
Wu, Xiao
Sylvester, Dennis
Blaauw, David
Date Issued

2019

Publisher

IEEE

Published in
IEEE Journal of Solid-State Circuits
Volume

54

Issue

11

Start page

2921

End page

2931

Subjects

Analog-to-digital converter (ADC)

•

charge-injection cell (ci-cell)

•

ciSAR

•

CMOS image sensors

•

energy efficient

•

Internet of Things (IoT)

•

low-power electronics

•

motion detection

•

multiple sampling

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

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MSIC-LAB  
Available on Infoscience
April 1, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/186837
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