These are more use cases targeted for a commercial drone fleet management software that scales elastically and helps drones manage their flight path in real-time.

Case 8: Safety enforcement on failures across multiple drone units is a scenario that should not be the norm, but it is dedicated to the platform for its capability to operate different fleets. Take the specific example of 55 drone units failing out of 200 for a 4th of July show where the failed units landed in Angle Lake close to SeaTac airport and sank to the bottom, some with their lights on. It was a technical glitch where multiple airborne units failed with “no global positioning” and instead of falling from the sky, made controlled landings into the lake. If there were an override to the GPS failure, it could have resulted in runaways, injury or damage. Each of the drones cost about $2600 to the Great Lakes Drone Co based out of Coloma, Michigan before they engaged in safety policies, procedures and programming to make controlled landings.  External interference such as radio deterrence devices including radio frequency jammers or internal malfunctions such as system compromise were not ruled out. The point of this use case is that the responsibility for the flight of the drones lies not just with the controller but also with the platform relaying commands to the drones. Such a use case that spans all drone fleets and their formations and flight paths across tenants is a specific use case that must be tried out with drills and controlled environments. Some amount of Chaos Engineering practices apply to the handling of these drones via the portal.

Case 9: One of the benefits of a cloud native platform for drone fleet management is that this pseudo resource can make use of other user-friendly services such as OpenAI for chatbot like interaction with the software, Cognitive services for multi-media analysis from drone captures, and for voice translation into commands for the drone fleet. From mundane tasks of using a data lake to stash all sensor captures from the drone fleet organized by individual drones as folders and with data plane access separate from control plane access, to more advanced and sophisticated use cases of correlating and automation service requests against drone fleet inventory and dynamic control of fleet crew, the possibilities are endless. Even workflow management becomes easier with cloud resources and integration. Customized automations are facilitated by the cloud’s powerful methods of interactions namely api, sdk, command line and portal.

Previous use cases: DFCSUseCasesList.docx : https://1drv.ms/w/s!Ashlm-Nw-wnWhPB1Ov2NRhBtAQFyNQ?e=GhfAMw

References: https://1drv.ms/w/s!Ashlm-Nw-wnWhPA9saJLYQGA7q2Wiw?e=AONTxo for data architecture 

https://1drv.ms/w/s!Ashlm-Nw-wnWhO4OGADjCj0GVLyFTA?e=UGMEpB for software description.