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Real-time GPS tracking using serverless architecture and ARM processor

There have been many advancements in the field of technology which have helped to shape better solutions for the problems of today. One such advancement that has provided extraordinary services with minimal effort is cloud computing. The aim of this work is to build a GPS tracker for vehicles using serverless architecture. It is equipped with a suitable mobile/web application for viewing the live results. The location data is stored in a cloud database that can be used for processing. The route that the vehicle takes is plotted using google maps after the ‘to and from' dates are selected by the user. This can be viewed on the website that is specially designed for this vehicle tracking application. An email is sent to the user if movement outside a specific geographical boundary is detected. These geographical boundaries or geofences are customized based on the user's desire. Incorporating cloud computing has increased the efficiency of storage and analysis of data. Thereby, enhancing the features available in vehicle tracking applications.