Learning Food Quality and Safety from Wireless Stickers
Name
RFIQ-paper.pdf
Description
Accepted version
Size
5.43 MB
Format
Adobe PDF
Checksum (MD5)
6edb26e027413137ffd468fff809cfda
Author(s)
Ha, Unsoo
Ma, Yunfei
Zhong, Zexuan
Hsu, Tzu-Ming
Adib, Fadel
Date Issued
November 2018
Journal
HotNets '18: The 17th ACM workshop on Hot Topics in Networks
Publisher
Association for Computing Machinery (ACM)
Citation
Ha, Unsoo et al. "Learning Food Quality and Safety from Wireless Stickers." HotNets '18: The 17th ACM workshop on Hot Topics in Networks, November 2018, Redmond, Washington, USA, Association for Computing Machinery, November 2018. © 2018 The Author(s)
Version
Author's final manuscript
Abstract
Can we sense food quality and safety using wireless signals? In this paper, we explore how we can discover properties of a container's contents without opening it and without any physical contact with its contents. Our idea is to exploit electromagnetic interactions between wireless stickers placed on the container and materials in their immediate vicinity (i.e., inside the container) to determine food quality and safety. We show how a preliminary prototype implementation of our technique enables us to answer questions like: Is a baby formula inside a container pure or tainted? Is the alcohol content of a bottle safe? These capabilities pave way for ubiquitous wireless sensing technologies that can inform their users about the health and safety of their food.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3286062.3286078
