What question did this study set out to answer?

This work aims to explore the use of object recognition technology in improving performance and data security within home-office call centers.

April 26, 2026Open Access

Repository Copy of: Revolutionizing Home-Office Call Centers: Object Recognition for Performance and Data Security

Key Points

This work aims to explore the use of object recognition technology in improving performance and data security within home-office call centers.
Archiving of an original article for long-term preservation and discoverability.
Maintaining a repository link for citation and access.
Highlights the importance of integrating object recognition for enhancing performance metrics.
Emphasizes data security improvements through technological advancements.

Abstract

This record is a repository-preserved copy of an article originally published in The European Journal of Research and Development by Orclever Science it is not the version of record, and Zenodo is not the publisher of this work. Version of Record (primary publication): https://doi.org/10.56038/ejrnd.v4i4.595 Publisher: Orclever Science & Research Group. Journal: The European Journal of Research and Development. For citation, please use the Crossref DOI and the journal citation above — not the Zenodo DOI.

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Cite This Study

Kazancı et al. (Tue,) studied this question.

synapsesocial.com/papers/69edadba4a46254e215b5491 https://doi.org/https://doi.org/10.5281/zenodo.19745719

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