I. J. of Electrical & Electronics Research
Research Article | 
Implementation of AI based Safety and Security System Integration for Smart City
Author(s) : Nitika Vats Doohan1, Sandeep Kadam2, Rajesh Phursule3, Vinod S. Wadne4 and Aparna Junnarkar5
Published In : International Journal of Electrical and Electronics Research (IJEER) Volume 10, Issue 3
Publisher : FOREX Publication
Published : 25 August 2022
e-ISSN : 2347-470X
Page(s) : 518-522
Abstract
Our Indian government has set a goal of creating 100 smart cities that will use smart technology such as smart grids, smart phones, and various monitoring devices to generate large amount of data. Traditionally, data centres have been in charge of these files. One of the most pressing issues in data centres is resource management. One efficient strategy to address this issue is to use the best method for handling data, and when we're talking about Smart Cities, which will create a big quantity of data, it's becoming increasingly important to manage this massive amount of data.
It is also necessary to provide the better living standard for every citizen in the smart cities by providing good safety and security to them as well. As we know that every citizen is not smart enough to protect himself against the physical as well as cyber-crimes. In this paper, we have designed an advanced Artificial Intelligence (AI) based safety and security system for the human beings and their personal data in a smart city. The system architecture is designed with AI module with machine learning algorithms, IoT technology and sensors, smart drones, intelligent video surveillances, data analytics and cyber security modules. This system can efficiently protect the citizens and their personal data against the criminals with high speed and accuracy.
Keywords: AI, Data Analytics, Smart City, Internet of Things, Safety and Security
Nitika Vats Doohan, Assistant Professor, Medi-Caps University, Indore, M.P., India; Email: nitika.doohan@gmail.com
Sandeep Kadam, Assoc. Professor, Dept. of CSE, A. P. CoE & Research Pune, India; Email: sandeep.kadam@abmspcoerpune.org
Rajesh Phursule, Associate Professor, PCCOE, Nigdi Pradhikarn, Pune, India; Email: rphursule@gmail.com
Vinod S. Wadne, Associate Professor, Imperial College of Engineering and Research, Pune, India; Email: vinods1111@gmail.com
Aparna Junnarkar, Project Manager, Suma Soft, Pune, India; Email: aparna.junnarkar@gmail.com
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Dr. Nitika Vats Doohan, Dr. Sandeep Kadam, Dr. Rajesh Phursule, Dr. Vinod S. Wadne, and Dr. Aparna Junnarkar (2022), Implementation of AI based Safety and Security System Integration for Smart City. IJEER 10(3), 518-522. DOI: 10.37391/IJEER.100319.