A System for Collaborative Surveillance of Geographic Areas by Fleet of Drones.

we present a system that enables testing the impacts of collaborative monitoring of geographical regions by a fleet of drones. Specifically, we consider the settings in which a simulation is executed, based on the properties of a particular approach, and we enable users to gather the basic statistics and compare the parameters of interest for different approaches under varying conditions, as well as observe a basic visualization of the flight paths. In particular, we can vary the number of drones in the fleet, their initial distribution, the occurrences of events of interests (e.g., a potential threat), and the transition of the drones (i.e., their trajectories) in response to a detection of an event. In addition to viewing and analyzing different values of interest, users can upload their collaboration algorithm, add/change the environmental factors, observe the discrepancies, and decide which algorithm is best for their application. Moreover, an authenticated user can save the algorithm and resulting metrics for subsequent retrieval. Our prototype is a web-based system using SpringBoot, a Java framework, relying on MySQL for data management and APIs to communicate with the front-end built on React, enabling various extensibilities (algorithms, environmental parameters, events, drones configuration).