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Cameras can detect the presence of a drone in the airspace using visual data. On spotting a drone, the base station present at the centre of the cell beacons all the drones in its range to send their identities and ensures that the number of detected drones is same as the number of logged drones. If a visual data shows more drones than logged drones, a warning is issued and all the logged drones are sent encrypted message to spread out so that the unlogged is singled. The warning message should be encrypted so that only the logged drones can read it.
The base station uploads the logs periodically to a central database. It sends the information about the logged drones and the warnings generated.
After that it cleans the logs so that it can again log the presence of allowed nodes in future. When such nodes are found whose identities do not match with the allowed identities, the warning is transmitted to its owner.
In case a silent node is found that did not log its presence, that warning is flagged as an alert and can be used to initiate further action.
Using the logs form all the cells we can obtain key insights like common routes, traffic schedule, drones demographics, alert frequency, accident hotspots. Using this information we can build predictive systems that can be used to ensure safety of drones as well as citizens.
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