Recognition of people in an IoT system with limited resources

The Internet of Things (IoT) is currently a rapidly growing field of science. It is often the case that devices working in IoT cannot exceed predetermined dimensions. The small size does not allow the use of large computing power. For this reason, we are dealing with the use of Internet of Things in resource-limited environments. In this paper, a study was conducted to test the accuracy of face recognition. By analyzing the results obtained in this paper, the reliability of the solutions ob-tained with the library used can be checked.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-30
DOI
https://doi.org/10.5281/zenodo.15274994
Primary Topic
User Authentication and Security Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Recognition of people in an IoT system with limited resources

Zenodo (CERN European Organization for Nuclear Research)
User Authentication and Security Systems
article

Recognition of people in an IoT system with limited resources

article en

Abstract

The Internet of Things (IoT) is currently a rapidly growing field of science. It is often the case that devices working in IoT cannot exceed predetermined dimensions. The small size does not allow the use of large computing power. For this reason, we are dealing with the use of Internet of Things in resource-limited environments. In this paper, a study was conducted to test the accuracy of face recognition. By analyzing the results obtained in this paper, the reliability of the solutions ob-tained with the library used can be checked.

Zenodo (CERN European Organization for Nuclear Research)
Państwowa Wyższa Szkoła Zawodowa w Nowym Sączu (PL)
Decent work and economic growth
Openalex Percentile: Top 42%
User Authentication and Security Systems
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Recognition of people in an IoT system with limited resources · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS