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ZENODO
Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Evolution and Impact of Automatic Data Collection Systems

Authors: S. Mulani;

Evolution and Impact of Automatic Data Collection Systems

Abstract

Automatic Data Collection Systems (ADCS) have revolutionized the way organizations gather, process, and analyze data. These systems utilize advanced technologies such as sensors, RFID, barcodes, and IoT devices to automate the data collection process, thereby enhancing accuracy, efficiency, and decision-making capabilities. This paper provides a comprehensive overview of ADCS, exploring their evolution, components, and applications across various industries. By examining case studies and current trends, the paper highlights the significant benefits of ADCS, including reduced human error, real-time data access, and improved operational efficiency. Furthermore, the challenges associated with ADCS implementation, such as data security and integration with existing systems, are discussed. The paper also delves into the future prospects of ADCS, particularly the role of artificial intelligence and machine learning in further advancing automatic data collection processes.

Keywords

Automatic data collection systems (ADCS), data accuracy, operational efficiency real-time data, sensors

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green