evaluating sensor technologies for gate-based object counting in an internet of things set-up
Clicks: 156
ID: 178182
2015
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
30.0
/100
156 views
24 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #48 of 60 articles by views in gülhane tıp dergi
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
The increased computational power of modern embedded devices with the widespread development of Internet infrastructure has brought the Internet of Things (IoT) era closest than ever. Recent market researches indicate that IoT product and relevant service suppliers will generate revenue exceeding $300 billion and the interconnected devices will grow to 26 billion [1, 2]. One field that can be benefited from the common advantages of IoT systems, (real time monitoring, large scale deployment etc.) is the Logistics area. In this paper we investigate a common problem in the logistics which is the automating object counting. We concentrate on uniform, disposable products stored on a pile, queue or a stack (e.g., a shelf) and examine a number of different technologies for sensing input and output through a gate to the storage area and how we can integrate them in an IoT environment. We define a set of comparison criteria with practical flavor in order to examine and evaluate twelve different types of sensors 3. The intention for our study is to form a baseline for anyone needing to implement gate-based input/output control.
| Reference Key |
anagnostopoulos2015sensors evaluating
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Kostas Anagnostopoulos; Alex Vakaloudis;Nikolaos Chalikias;Colin Leslie;Jian Liang |
| Journal | gülhane tıp dergi |
| Year | 2015 |
| DOI |
DOI not found
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.