Fuel Tanker Theft Prevention System using Internet of Things and Machine Learning Article Swipe
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.56726/irjmets46543
Fuel is one of the most valuable commodities worldwide, and this has led to a manifold increase in fuel theft globally.Most of the fuel is stolen while in transport between industries.Detecting this theft becomes difficult due to the multiple logistic complexities involved.A secure system that prevents the fuel from being stolen from the tanker is proposed.The system involves continuously monitoring the fuel level in the storage tank of the tanker.When the fuel drops below a specified limit, an alert will be sent to the driver and the fuel agency.A security system based on password authentication acts as the first layer of security.A GPS module enables authorities to monitor the location of the truck through a mobile application.The novelty of the proposed system is IOT (Internet of Things) enabled security system which will ensure the communication between the sender and receiver parties and after confirmation, fuel would be dispensed.This system will help play an important role in the prevention of fuel theft.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- http://doi.org/10.56726/irjmets46543
- https://doi.org/10.56726/irjmets46543
- OA Status
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- References
- 6
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- 10
- OpenAlex ID
- https://openalex.org/W4389558332
Raw OpenAlex JSON
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https://openalex.org/W4389558332Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.56726/irjmets46543Digital Object Identifier
- Title
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Fuel Tanker Theft Prevention System using Internet of Things and Machine LearningWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-12-11Full publication date if available
- Authors
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Sweety Jachak, Aniruddha Gadhave, Ajay Dharankar, Suyash Wagh, Aftab Ahmed ShaikhList of authors in order
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https://doi.org/10.56726/irjmets46543Publisher landing page
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https://doi.org/10.56726/irjmets46543Direct link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.56726/irjmets46543Direct OA link when available
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Internet of Things, Computer security, The Internet, Computer science, Internet privacy, Engineering, Business, World Wide WebTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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6Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.21796323 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |