Work

Recognition of people in an IoT system with limited resources

Year: 2024

Type: article

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.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15274994

Authors: Drozd, Daniel, Jabłoński, Zenon, Litawa, Grzegorz

Language: English

Topic: Face recognition and analysis

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6893325017

FWCI:

Cites:

Cited by:

Related to: