An Innovative Model (UAV-FTMP) based on Combination among Edge Computing, Intelligent Big Data Analysis and Internet of Thin

Samaher Al-Janabi


The world suffers from a very large number of missing persons, ranging from about 250,000 to about one million people missing for various reasons in recent years. In the event of an emergency was an explosion in a particular place or fire, the security authorities quickly move rescue teams with their equipment in the place of the incident and this may cause a new emergency and the losses become doubled. Therefore, the artificial intelligent techniques work to handle that problem, the process of finding and tracing the missing persons as a result of a plane crash, fire or explosion in a particular area is a humanitarian and religious and national duty and is one of the most important issues in our country. Making their work safe and easy as well as reducing the material costs spent on such emergencies by the state. The idea of this work has been developed and implemented practically; it can represent as triangular problem, which included three heads. We have designed system that collects data in real-time and analyzes it in a smart way and utilizes GPS to find missing persons and track their impact. The work suggests the structure of the UAV model includes several stages, the first stage is the construction phase of the drone structure, the second stage is uploading a map of the specific area in its natural state and build database of the most important entities a variable in that region and its locations, then build software system to collection the data in real time and analysis it. Finally, the process of matching the real data from the system with the original database and generating reports identifying the location of missing persons based one the values of five evaluation measures; accuracy is 0.95, recall is 0.95, Precession 0.88, F is 0.9137 and 0.893.



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