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University of Nevada, Reno

Forget Me Not- Possession Protection Devices

Abstract

dc:description.abstract

On average, Americans spend 2.7 billion dollars yearly replacing lost or stolen belongings and each individual spends two and a half days each year looking for these items. Current products in the market could help to track down lost items. However, this only works within a certain range or relies on a community of other users, which is not reliable. These commercially available devices often require interfacing with a smart device. There was significant room for improvement over the current products in the market which could simply prevent the loss of possessions in the first place. Forget Me Not accomplished this by creating a mesh network of tags using Digi Xbee 3 Zigbee 3.0 microcontrollers communicating using the Digimesh network protocol to transmit and receive signals between each other to verify each of the individual devices, which are attached to personal belongings, are within a specific range of other devices.

Degree

thesis:*
Name thesis:degree_name
Electrical and Biomedical Engineering
Level thesis:degree_level
Honors Thesis
Grantor
University of Nevada, Reno
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Heinrich, Cindy
Advisor dc:contributor.advisor
  • Commuri, Sesh
Committee member dc:contributor.committeemember
  • McCallum, Josh; Kuchler, Jack; Calic, Sara;

Rights

dc:rights
Statement dc:rights
  • Creative Commons Attribution 4.0 United States
Language dc:language.iso
en_US, English

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11714/7491
OAI identifier oai:identifier
oai:scholarwolf.unr.edu:11714/7491

Chain of custody

source
Harvested from
University of Nevada - Reno
Base URL
scholarwolf.unr.edu/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
related terms
citation

Heinrich, Cindy. Forget Me Not- Possession Protection Devices. Honors Thesis thesis, University of Nevada, Reno, 2020. http://hdl.handle.net/11714/7491