Enhancing IOT Object Tracking Using Kalman Filter Algorithm In a Cloud Environment

Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16745

Title:	Enhancing IOT Object Tracking Using Kalman Filter Algorithm In a Cloud Environment
Authors:	Kumar, Mukesh Saklani, Anshika Mawal, Kirtika Sharma, Ritabh Singh, Teekam Taranath, N L
Keywords:	Gps Kalman Filter Location Tracking Rfid Velocity Renovation
Issue Date:	2024
Publisher:	2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems, ICITEICS 2024 Institute of Electrical and Electronics Engineers Inc.
Abstract:	People tend to forget or misplace their valuable items and spend a lot of time finding them. An application capable of tracking lost items can be used as a solution. It would pinpoint the location of the object. Such an application is suitable for common people as well as for service companies. IoT and Cloud Computing technologies could be utilized to develop very reliable systems. Commonly used methodologies for finding location are the Velocity Renovation and Kalman Filtering process. These algorithms can work with applications like Google Maps on mobile devices. The system can extract the coordinates of the object and share them over SMS hence., location sharing feature is enabled too. © 2024 IEEE.
URI:	https://doi.org/10.1109/ICITEICS61368.2024.10625418 https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16745
ISBN:	9798350382693
Appears in Collections:	Conference Papers

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