SenSys 2026

MagLens: Bringing Mobile, Fine-Grained Imaging to Ferrous Building Structures

Jike Wang, Yasha Iravantchi, Mingke Wang, Alanson Sample, Kang Geun Shin, Xinbing Wang, Dongyao Chen

MagLens

Abstract

Ferrous structures — steel rebars, pipes, conduits — are embedded invisibly inside walls, floors, and ceilings of virtually every modern building. Locating them precisely is critical for safe drilling, structural inspection, and infrastructure maintenance, yet existing tools (stud finders, ground-penetrating radar) are bulky, expensive, or limited in resolution.

MagLens turns a mobile device into a high-resolution magnetic imager for ferrous building structures. By sweeping a handheld magnetometer array across a surface and fusing the resulting field measurements, MagLens reconstructs a fine-grained map of hidden ferromagnetic objects — revealing the position, shape, and depth of rebars and other structural elements without any special infrastructure. This capability opens the door to a range of safety-critical inspection and construction applications.

Key Contributions

Demo

BibTeX

@inproceedings{wang2026maglens,
  title     = {MagLens: Bringing Mobile, Fine-Grained Imaging to Ferrous Building Structures},
  author    = {Wang, Jike and Iravantchi, Yasha and Wang, Mingke and Sample, Alanson and Shin, Kang Geun and Wang, Xinbing and Chen, Dongyao},
  booktitle = {Proceedings of the 24th ACM Conference on Embedded Networked Sensor Systems (SenSys)},
  year      = {2026},
  publisher = {ACM}
}