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name: flight-computer description: Flight computer subproject context. Use when working in the flight_computer package, camera capture, video processing, audio recording, or high-level mission logic. keywords: [flight computer, flight_computer, camera, video, audio, nokhwa, recording, mission logic, orange pi, linux, dayton audio, calibration]

Flight Computer Subproject

Role in System

The flight computer is the high-level processing unit of the payload system, running on an Orange Pi 4A single-board computer with Linux.

Responsibilities

• Camera capture and video/image processing
• Audio recording with calibrated microphone
• Receiving telemetry from Pico Logger
• High-level mission decision logic
• Data storage to onboard storage

Communication

• Receives sensor data from Pico Logger (protocol TBD)
• May transmit to ground station (TBD)

Project Structure

Copyflight_computer/
├── Cargo.toml
├── Cargo.lock
├── README.md
├── src/
│   ├── main.rs              # Entry point, camera capture
│   └── 2581417.txt          # DaytonAudio mic calibration
└── target/

Build & Run

Copycd flight_computer
cargo build --release
cargo run --release

Target: Standard Linux (aarch64 or x86_64 depending on dev machine)

Prerequisites

Before running on Orange Pi 4A:

1. Remove standard ffmpeg, install ffmpeg-rk:

   Copysudo apt remove ffmpeg
   # Install ffmpeg-rk for hardware encoding
   

2. Install PipeWire audio system:

   Copy# Replace PulseAudio with PipeWire
   

Current Implementation

Camera capture using nokhwa with callback-based frame processing:

Copyuse nokhwa::{CallbackCamera, pixel_format::LumaFormat, utils::CameraIndex};

let index = CameraIndex::Index(3);  // Camera at index 3
let mut camera = CallbackCamera::new(index, requested, |buffer| {
    let decoded = buffer.decode_image::<LumaFormat>().unwrap();
    decoded.save("./test.png").unwrap();
}).unwrap();

camera.open_stream().unwrap();

Key Dependencies

Calibration Data

src/2581417.txt contains DaytonAudio microphone frequency response calibration data for accurate audio recording.

TODO / Planned Features

• Video recording (not just single frame capture)
• Audio recording integration
• Telemetry reception from Pico Logger
• Mission state machine
• Data fusion and logging

Related Skills

• orange-pi-4a: Hardware platform details
• pico-logger: Telemetry source