FPV AI-FPV drone problem-solving assistant

Example

FPV AI can guide users through the setup of Betaflight firmware on a new flight controller, including installing and configuring the Betaflight Configurator, setting up the receiver, calibrating sensors, and tuning the PID controller.

Scenario

A user has just purchased a new FPV quadcopter and needs to set up the flight controller. FPV AI walks them through each step, from flashing firmware to configuring motor output protocols like DShot, enabling them to get their drone ready for flight.

Example

FPV AI provides specific tuning advice based on the user's quad size and flight style (e.g., freestyle, racing). It can suggest changes in PID, filtering settings, or ESC protocols for optimal performance.

Scenario

A pilot is experiencing oscillations and instability while performing tricks with a freestyle quad. FPV AI suggests tuning adjustments, such as lowering the D-term and adjusting filter settings to smooth out the flight behavior.

Example

FPV AI helps identify common problems such as gyro misalignment, sensor failures, or issues with receiver signals. It provides a step-by-step process to isolate and fix the issue, such as misconfigured UART ports or sensor calibration.

Scenario

After a crash, a user notices that their quadcopter is not responding correctly to inputs. FPV AI helps diagnose potential issues like a damaged gyro sensor or incorrect motor mappings, and guides the user on how to fix these through the Betaflight configurator.