Learning Food Quality and Safety from Wireless Stickers
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 pl...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Association for Computing Machinery (ACM)
2020
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| Online Access: | https://hdl.handle.net/1721.1/128689 |
| _version_ | 1826209066603511808 |
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| author | Ha, Unsoo Ma, Yunfei Zhong, Zexuan Hsu, Tzu-Ming Adib, Fadel |
| author2 | Massachusetts Institute of Technology. Media Laboratory |
| author_facet | Massachusetts Institute of Technology. Media Laboratory Ha, Unsoo Ma, Yunfei Zhong, Zexuan Hsu, Tzu-Ming Adib, Fadel |
| author_sort | Ha, Unsoo |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T14:17:02Z |
| format | Article |
| id | mit-1721.1/128689 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T14:17:02Z |
| publishDate | 2020 |
| publisher | Association for Computing Machinery (ACM) |
| record_format | dspace |
| spelling | mit-1721.1/1286892022-09-28T19:44:27Z Learning Food Quality and Safety from Wireless Stickers Ha, Unsoo Ma, Yunfei Zhong, Zexuan Hsu, Tzu-Ming Adib, Fadel Massachusetts Institute of Technology. Media Laboratory 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. 2020-11-30T18:57:11Z 2020-11-30T18:57:11Z 2018-11 2019-07-17T17:47:36Z Article http://purl.org/eprint/type/ConferencePaper 9781450361200 https://hdl.handle.net/1721.1/128689 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) en http://dx.doi.org/10.1145/3286062.3286078 HotNets '18: The 17th ACM workshop on Hot Topics in Networks Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Association for Computing Machinery (ACM) MIT web domain |
| spellingShingle | Ha, Unsoo Ma, Yunfei Zhong, Zexuan Hsu, Tzu-Ming Adib, Fadel Learning Food Quality and Safety from Wireless Stickers |
| title | Learning Food Quality and Safety from Wireless Stickers |
| title_full | Learning Food Quality and Safety from Wireless Stickers |
| title_fullStr | Learning Food Quality and Safety from Wireless Stickers |
| title_full_unstemmed | Learning Food Quality and Safety from Wireless Stickers |
| title_short | Learning Food Quality and Safety from Wireless Stickers |
| title_sort | learning food quality and safety from wireless stickers |
| url | https://hdl.handle.net/1721.1/128689 |
| work_keys_str_mv | AT haunsoo learningfoodqualityandsafetyfromwirelessstickers AT mayunfei learningfoodqualityandsafetyfromwirelessstickers AT zhongzexuan learningfoodqualityandsafetyfromwirelessstickers AT hsutzuming learningfoodqualityandsafetyfromwirelessstickers AT adibfadel learningfoodqualityandsafetyfromwirelessstickers |