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A Framework for Dynamic Voltage Scaling of Image Sensors Towards Low Power IoT Vision

Published: 02 October 2023 Publication History

Abstract

Energy-efficient visual sensing is crucial for enabling battery-backed low power IoT and mobile applications. However, modern image sensors still exhibit high power consumption, primarily attributed to analog readout. This high power consumption arises from the conventional practice of supplying a fixed voltage to the analog circuitry of image sensors. Towards that end, we propose to aggressively scale analog voltage supplied to the camera as means to significantly reduce sensor power consumption. This demonstration showcases the potential of dynamic voltage scaling on commercial image sensors within an RPi-based video streaming pipeline. We enable users to flexibly configure sensor voltage settings and observe the impact on both image fidelity and sensor power consumption. Furthermore, this demonstration offers a framework for studying the implications of flexible voltage specification in the context of a person tracking application.

References

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Deepak Vasisht, Zerina Kapetanovic, Jongho Won, Xinxin Jin, Ranveer Chandra, Sudipta Sinha, Ashish Kapoor, Madhusudhan Sudarshan, and Sean Stratman. {FarmBeats}: An {IoT} platform for {Data-Driven} agriculture. In 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 17), 2017.
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Mauricio Delbracio, Damien Kelly, Michael S. Brown, and Peyman Milanfar. Mobile computational photography: A tour. Annual Review of Vision Science, 2021.
[3]
Cindy S Bick, Inhee Lee, Trevor Coote, Amanda E Haponski, David Blaauw, and Diarmaid Ó Foighil. Millimeter-sized smart sensors reveal that a solar refuge protects tree snail partula hyalina from extirpation. Nature's Communications Biology, 2021.
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Tom's guide. Magic Leap 2 release date, price and all the new features. https://www.tomsguide.com/news/magic-leap-2-everything-weve-heard-so-far.

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  1. A Framework for Dynamic Voltage Scaling of Image Sensors Towards Low Power IoT Vision

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    cover image ACM Conferences
    ACM MobiCom '23: Proceedings of the 29th Annual International Conference on Mobile Computing and Networking
    October 2023
    1605 pages
    ISBN:9781450399906
    DOI:10.1145/3570361
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

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    New York, NY, United States

    Publication History

    Published: 02 October 2023

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    Author Tags

    1. image sensors
    2. voltage scaling
    3. IoT
    4. AR/VR
    5. energy-efficiency

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    Overall Acceptance Rate 440 of 2,972 submissions, 15%

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