SeaScan: An Energy-Efficient Underwater Camera for Wireless 3D Color Imaging
Name
3636534.3690661.pdf
Size
1.89 MB
Format
Adobe PDF
Checksum (MD5)
b6559e3a3bcc3ba99c70a7a437ab499e
Author(s)
Naeem, Nazish
Rademacher, Jack
Patnaik, Ritik
Boroushaki, Tara
Adib, Fadel
Date Issued
December 4, 2024
Publisher
ACM|The 30th Annual International Conference on Mobile Computing and Networking
Citation
Naeem, Nazish, Rademacher, Jack, Patnaik, Ritik, Boroushaki, Tara and Adib, Fadel. 2024. "SeaScan: An Energy-Efficient Underwater Camera for Wireless 3D Color Imaging."
Version
Final published version
Abstract
We present the design, implementation, and evaluation of SeaScan, an energy-efficient camera for 3D imaging of underwater environments. At the core of SeaScan's design is a trinocular lensing system, which employs three ultra-low-power monochromatic image sensors to reconstruct color images. Each of the sensors is equipped with a different filter (red, green, and blue) for color capture. The design introduces multiple innovations to enable reconstructing 3D color images from the captured monochromatic ones. This includes an ML-based cross-color alignment architecture to combine the monochromatic images. It also includes a cross-refractive compensation technique that overcomes the distortion of the wide-angle imaging of the low-power CMOS sensors in underwater environments. We built an end-to-end prototype of SeaScan, including color filter integration, 3D reconstruction, compression, and underwater backscatter communication. Our evaluation in real-world underwater environments demonstrates that SeaScan can capture underwater color images with as little as 23.6 mJ, which represents 37X reduction in energy consumption in comparison to the lowest-energy state-of-the-art underwater imaging system. We also report qualitative and quantitative evaluation of SeaScan's color reconstruction and demonstrate its success in comparison to multiple potential alternative techniques (both geometric and ML-based) in the literature. SeaScan's ability to image underwater environments at such low energy opens up important applications in long-term monitoring for ocean climate change, seafood production, and scientific discovery.
Description
ACM MobiCom ’24, November 18–22, 2024, Washington D.C., DC, USA
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
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Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.1145/3636534.3690661
