The drones have now been tested with QGroundControl, and though it is working brilliantly with displaying the camera feed and flight data like altitude and speed, getting the GPS to work properly was easier said than done. To get an accurate position, the drone needs to triangulate with GPS satellites. However, as seen in the "GPS Count 0", this is not working properly at this time.

Sprint Summary

Name	Task	Comments
Kasper	Set up Raspberry Pi, connect to QGC. Functional analysis	Pi has successfully connected to QGC and can communicate and execute scripts on command from QGC. Finished the diagram.
Eirik	QGC interface, work with GPS and Wi-Fi	Due to problems with getting the GPS to triangulate with satellites, I have contacted Modal AI directly to get assistance. This task has been put on pause until I get a response, so that no more time and resources is going to waste on nothing. If we do not get a response within a reasonable scope, we need to start thinking about backup ideas.
Kristian T	QGC UI, add buttons and drop down menu, described in the Software development plan	Buttons are implemented into QGC and can send UDP packets to Pi, but not yet receive.
Kristian M	Start looking at BMS schematic Concept selection dispenser Charging solution (conductive tiles)	Balancing is finished. Need more time to complete the simulation and add components. Decided on a solution in the team, will make a pugh matrix to justify the solution. Decided on a charging concept.
Ruben	Concept selection dispenser Opening mechanism Development plan	Decided on a solution in the team, will make a pugh matrix to justify the solution. Opening mechanism finished. Development plan finished.
Ulrik	Functional analysis Concept selection dispenser Opening mechanism	Finished the diagram. Decided on a solution in the team, will make a PUGH matrix to justify the solution. Opening mechanism finished.