@inproceedings{6f4f585cc6b844b79d8935220a234086,
title = "Adaptive voltage scaling to balance energy savings and image quality in cameras",
abstract = "Energy-efficient visual sensing is extremely important to enable battery powered mobile and IoT applications. While several scheduling techniques have been proposed to save the digital power of sensing, the analog power [1] of capturing an image still remains a daunting barrier for a camera's energy-efficiency. To that end, we characterize the power and performance implications of analog voltage scaling on off-the-shelf image sensors. Our characterization reveals that while reducing the analog voltage supplied to image sensor helps promote sensor power efficiency, it also impairs imaging fidelity, specifically by making images brighter and noisier. Furthermore, we find that brighter and noisier images situationally affect the task accuracy of vision applications. In this poster, we propose an investigation towards a system that adaptively scales analog voltage to optimize sensor energy, while respecting the fidelity needs of visual tasks.",
keywords = "energy-efficiency, image sensors, voltage scaling",
author = "Venkatesh Kodukula and Mason Manetta and Robert Likamwa",
note = "Publisher Copyright: {\textcopyright} 2022 Owner/Author.; 20th ACM International Conference on Mobile Systems, Applications and Services, MobiSys 2022 ; Conference date: 27-06-2022 Through 01-07-2022",
year = "2022",
month = jun,
day = "27",
doi = "10.1145/3498361.3538776",
language = "English (US)",
series = "MobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services",
publisher = "Association for Computing Machinery",
pages = "545--546",
booktitle = "MobiSys 2022 - Proceedings of the 2022 20th Annual International Conference on Mobile Systems, Applications and Services",
address = "United States",
}