The task was to predict the weather using data from a server. We expanded this to create an application that determines if the weather is suitable for drone flying. It also considers battery and video performance in these conditions. Additionally, it calculates how long you can record at a specific video quality for your SD card. A final feature is the ability to live view your camera feed.

Team member

Calvin Roets

Skills learned

We have learned how to retrieve information from a server, connect cameras, and implement a clear project structure in LabVIEW. Additionally, we have efficiently learned to collaborate for targeted work. Alongside LabVIEW skills, we have expanded our knowledge of ideal weather conditions for hobby drones and creating camera footage.

One strength of our application is presenting a wealth of information on a single screen. No prior knowledge of drone flying is needed to determine if your drone can fly in current weather conditions.

Program

The program was visually divided by task, utilizing the creation of SubVIs to enhance readability and maintain a modular structure. This approach not only streamlines the code but also facilitates efficient collaboration among team members working on specific aspects of the project. SubVIs enable a more systematic and organized development process, allowing for easier troubleshooting, debugging, and future modifications.