@inproceedings{567f80eec34f4b719bf2622b7b5bbac3,
title = "A Framework for Dynamic Voltage Scaling of Image Sensors Towards Low Power IoT Vision",
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.",
keywords = "AR/VR, IoT, energy-efficiency, image sensors, voltage scaling",
author = "Venkatesh Kodukula and Mason Manetta and Robert Likamwa",
note = "Publisher Copyright: {\textcopyright} 2023 Owner/Author(s).; 29th Annual International Conference on Mobile Computing and Networking, MobiCom 2023 ; Conference date: 02-10-2023 Through 06-10-2023",
year = "2023",
month = oct,
day = "2",
doi = "10.1145/3570361.3614071",
language = "English (US)",
series = "Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM",
publisher = "Association for Computing Machinery",
pages = "1427--1429",
booktitle = "Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, ACM MobiCom 2023",
address = "United States",
}