Design a crime detection system based fog computing and IoT
The Internet of Things (IoT) is a cutting-edge innovation that facilitates the cost-effective development of smart system architectures. Although current regulations necessitate installing an analog fire alarm system, such a system lacks the intelligence to instantly notify the appropriate parties i...
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Online Access: | http://eprints.utm.my/105310/1/AliAqeelSalim2023_DesignaCrimeDetectionSystem.pdf http://eprints.utm.my/105310/ http://dx.doi.org/10.11113/mjfas.v19n3.2906 |
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my.utm.1053102024-04-22T10:26:10Z http://eprints.utm.my/105310/ Design a crime detection system based fog computing and IoT Waheed, Safa Riyadh Sakran, Ammar AbdRoba Mohd. Rahim, Mohd. Shafry Mohd. Suaib, Norhaida Najjar, Fallah H. Kadhim, Karrar A. Salim, Ali Aqeel Adnan, Myasar Mundher QA Mathematics QC Physics The Internet of Things (IoT) is a cutting-edge innovation that facilitates the cost-effective development of smart system architectures. Although current regulations necessitate installing an analog fire alarm system, such a system lacks the intelligence to instantly notify the appropriate parties in a timely fashion. In addition, since people are not always present, an analog fire alarm will not be able to prevent immediate danger or damage in the event of a fire. Therefore, the incident must be reported as soon as possible to the appropriate party in order to lessen the impact of a fire. In this study, we suggest a smart fire-alarm system made of a fire sensor and a sound sensor that can both detect fire and noise as well as the status of the analog fire alarm system to ascertain whether the analog fire alarm system is operational. We first tested our proposed smart fire alarm system to determine its effectiveness before putting it into use. From there, we ran experiments to determine how well it worked. The outcomes show that the system is trustworthy in a range of scenarios. Penerbit UTM Press 2023-01 Article PeerReviewed application/pdf en http://eprints.utm.my/105310/1/AliAqeelSalim2023_DesignaCrimeDetectionSystem.pdf Waheed, Safa Riyadh and Sakran, Ammar AbdRoba and Mohd. Rahim, Mohd. Shafry and Mohd. Suaib, Norhaida and Najjar, Fallah H. and Kadhim, Karrar A. and Salim, Ali Aqeel and Adnan, Myasar Mundher (2023) Design a crime detection system based fog computing and IoT. Malaysian Journal of Fundamental and Applied Sciences, 19 (3). pp. 345-354. ISSN 2289-599X http://dx.doi.org/10.11113/mjfas.v19n3.2906 DOI:10.11113/mjfas.v19n3.2906 |
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QA Mathematics QC Physics Waheed, Safa Riyadh Sakran, Ammar AbdRoba Mohd. Rahim, Mohd. Shafry Mohd. Suaib, Norhaida Najjar, Fallah H. Kadhim, Karrar A. Salim, Ali Aqeel Adnan, Myasar Mundher Design a crime detection system based fog computing and IoT |
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The Internet of Things (IoT) is a cutting-edge innovation that facilitates the cost-effective development of smart system architectures. Although current regulations necessitate installing an analog fire alarm system, such a system lacks the intelligence to instantly notify the appropriate parties in a timely fashion. In addition, since people are not always present, an analog fire alarm will not be able to prevent immediate danger or damage in the event of a fire. Therefore, the incident must be reported as soon as possible to the appropriate party in order to lessen the impact of a fire. In this study, we suggest a smart fire-alarm system made of a fire sensor and a sound sensor that can both detect fire and noise as well as the status of the analog fire alarm system to ascertain whether the analog fire alarm system is operational. We first tested our proposed smart fire alarm system to determine its effectiveness before putting it into use. From there, we ran experiments to determine how well it worked. The outcomes show that the system is trustworthy in a range of scenarios. |
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Article |
author |
Waheed, Safa Riyadh Sakran, Ammar AbdRoba Mohd. Rahim, Mohd. Shafry Mohd. Suaib, Norhaida Najjar, Fallah H. Kadhim, Karrar A. Salim, Ali Aqeel Adnan, Myasar Mundher |
author_facet |
Waheed, Safa Riyadh Sakran, Ammar AbdRoba Mohd. Rahim, Mohd. Shafry Mohd. Suaib, Norhaida Najjar, Fallah H. Kadhim, Karrar A. Salim, Ali Aqeel Adnan, Myasar Mundher |
author_sort |
Waheed, Safa Riyadh |
title |
Design a crime detection system based fog computing and IoT |
title_short |
Design a crime detection system based fog computing and IoT |
title_full |
Design a crime detection system based fog computing and IoT |
title_fullStr |
Design a crime detection system based fog computing and IoT |
title_full_unstemmed |
Design a crime detection system based fog computing and IoT |
title_sort |
design a crime detection system based fog computing and iot |
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Penerbit UTM Press |
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2023 |
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http://eprints.utm.my/105310/1/AliAqeelSalim2023_DesignaCrimeDetectionSystem.pdf http://eprints.utm.my/105310/ http://dx.doi.org/10.11113/mjfas.v19n3.2906 |
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