Projects 2020/21 If you want to support us in one of the named or other topics of drone development, please contact us. Every help is very appreciated. Mechanics: horizontal stabilizer for fiber composite fuselagedesign in OnShapeconnection to the fuselagecontrol as watertight as possiblemanufactured with CFRP / GFRPpositive construction with XPS corenegative design with negative form Mechanics: detachable nosedesign of a detachable nosesuitable, reversible sealchange of the battery Mechanics: wings in fiber composite technologydesign of the wings in OnShapeservo control of the aileronsmanufactured using fiber composite technology (positive construction with XPS core) Mechanics: camera module for fiber fuselagedesign of the camera window in the fuselage with OnShapeholder for Rasperry Pi camera v2holder for Rasperry Pi Zero Wgluing acrylic glass / GFRPdouble camera system Electrics: replacement of LiPo by LiIonconstruction of a battery from LiIons for the driveappropriate connection technology and integration into the fuselage Electrics: construction of the ground transmittercontains: a telemetry transmitter, an UART-ethernet converter and a WiFi access pointdesign of a circuit board to connect all componentsconception of a box for installation on the ship Electrics: board computer circuit boardreplacement of the Raspberry Pi Zero with a Rasperry Compute Moduleconnection for two camerasalternatively: NVidia Jetson Compute Module Software: QGroundControl “Return to Ship”set up build environment for QGCintegration of return to ship functionplan and document releases for QGCbuild QGC for MacOs, Linux and Androidinstallation on laptop and tablet Software: Diverse projectsLive automated mission replaning / circle above boatSpeedup wireless log download from flight computerAutomated optimization of mission planing based on known winddirectionDatabase to log and visualize flightlogsImprovements on the SearchWing Pi/Drone Manager Software: Imagerecognition (Berlin)Thermal camera processing (De-Vignetting, detection, …)Training of machinelearning based objekt detection algorithmsOptimized deployment of machinelearning algorithms to flight/companion computerTracking of detections