Design a Crime Detection System based Fog Computing and IoT


  • Safa Riyadh Waheed ᵃComputer Techniques Engineering Department, Faculty of information Technology, Imam Jaafar Al-sadiq University, Iraq; ᶜFaculty of Engineering, School of Computing, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Ammar AbdRoba Sakran College of Biomedical Informatics, University of Information Technology and Communications (UOITC), Baghdad, Iraq
  • Mohd Shafry Mohd Rahim cFaculty of Engineering, School of Computing, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Norhaida Mohd Suaib Faculty of Engineering, School of Computing, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Fallah H Najjar Department of Computer Systems Techniques, Technical Institute of Najaf, Al-Furat Al-Awsat Technical University, Iraq
  • Karrar A Kadhim ᵃComputer Techniques Engineering Department, Faculty of information Technology, Imam Jaafar Al-sadiq University, Iraq; ᶜFaculty of Engineering, School of Computing, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Johor, Malaysia
  • Ali Aqeel Salim Laser Center and Physics Department, Faculty of Science, Universiti Teknologi Malaysia, Johor, Malaysia
  • Myasar Mundher Adnan Islamic University, Najaf, Iraq



IoT, fog computing, microcontroller, smart city, smart home


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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