Initial commit: project spec and README
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# planeMapper
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ADS-B radar display on a Waveshare 7.3" 6-colour e-ink screen, driven by a Pi 5 + RTL-SDR dongle.
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## Project goal
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Render a live ~100nm radius radar map centred on home airfield, with aircraft positions, headings, altitudes, and callsigns. Refresh every 60 seconds.
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## Stack
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- **dump1090** — ADS-B decoder, JSON feed at `http://localhost:8080/data/aircraft.json`
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- **Python + Pillow** — fetches JSON, renders map image
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- **OpenStreetMap tiles** — base map, pre-cached locally
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- **Waveshare Python library** — SPI driver for the e-ink HAT
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## Hardware
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- Raspberry Pi 5
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- Nooelec NESDR Smart v5 RTL-SDR dongle (SMA, 0.5PPM TCXO)
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- FlightAware 1090MHz antenna (5.5dBi)
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- Waveshare 7.3" 6-colour e-ink HAT (E-Ink Spectra 6, 40-pin GPIO, SPI, driver board included)
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## Design decisions
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- Aircraft icons: rotated triangle/arrow aligned to heading, short track line behind
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- Colour-coded by altitude band (6 colours available on display)
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- Callsign + altitude label per aircraft
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- Home airfield marked on map
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- Potential: differentiate commercial/GA/helicopter, highlight own squawk code
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## Full spec
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See README.md in this directory.
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# planeMapper
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A local ADS-B radar display on a 6-colour e-ink screen. Receives live aircraft positions via RTL-SDR, renders them on a map centred on a ~100nm radius, and refreshes the e-ink display every 60 seconds.
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## Concept
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- Pi 5 decodes ADS-B signals from a USB RTL-SDR dongle
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- dump1090 exposes a live JSON feed of aircraft positions
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- A Python script pulls the feed, renders a map image with aircraft overlaid
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- Image is pushed to a Waveshare 7.3" 6-colour e-ink HAT via SPI
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- Wall-mounted, always-on, low power
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## Hardware
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| Item | Link | Notes |
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|------|------|-------|
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| Raspberry Pi 5 | — | Already owned |
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| Nooelec NESDR Smart v5 RTL-SDR dongle | [Amazon](https://www.amazon.com/Nooelec-RTL-SDR-SDR-100kHz-1-75GHz-Enclosure/dp/B01HA642SW) | 0.5PPM TCXO, SMA input. Alternative: RTL-SDR Blog V3 |
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| FlightAware 1090MHz ADS-B antenna | [Amazon](https://www.amazon.com/Flightaware-1090MHz-Aviation-Receiver-Software/dp/B09P19H1Q8) | Purpose-built for 1090MHz, 5.5dBi |
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| Waveshare 7.3" 6-colour e-ink HAT | [Amazon](https://www.amazon.com/gp/product/B0D9K193FY) | E-Ink Spectra 6 (E6), 40-pin GPIO, SPI, driver board included |
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**Estimated cost:** ~$200 USD
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## Software Stack
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1. **dump1090** — decodes ADS-B from RTL-SDR, serves JSON at `http://localhost:8080/data/aircraft.json`
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2. **Python script** — fetches JSON, renders map image using Pillow, pushes to display via Waveshare driver
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3. **Waveshare Python library** — handles SPI communication with the e-ink HAT
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4. **OpenStreetMap tiles** — base map, pre-cached for the local area
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## Pipeline
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```
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RTL-SDR dongle
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→ dump1090 (ADS-B decoder)
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→ JSON feed (aircraft positions, headings, altitudes, callsigns)
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→ Python renderer (Pillow)
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→ map image with aircraft overlaid
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→ Waveshare SPI driver
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→ e-ink display
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```
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Refresh loop runs every 60 seconds.
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## Map Design
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- Centred on home airfield
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- ~100nm radius coverage
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- Base map from OpenStreetMap
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- Aircraft plotted as rotated arrows (heading-aligned)
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- Callsign and altitude label per aircraft
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- Colour-coded by altitude band (6 colours available)
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- Home airfield marked
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## Aircraft Icons
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- Rotated triangle/arrow pointing in direction of travel
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- Short track line behind showing recent path
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- Colour coded by altitude band or aircraft type
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- Size optionally coded by aircraft category (heavy/medium/light)
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- Differentiation options: commercial vs GA, helicopters, military
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- Could highlight a known squawk code (owner's own aircraft)
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## Build Order
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1. Get ADS-B receiving working — RTL-SDR dongle + dump1090, confirm aircraft visible
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2. Get base map rendering — OpenStreetMap tiles, 100nm radius circle centred on airfield
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3. Plot aircraft on map — pull live positions from dump1090 JSON, draw heading arrows
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4. Push to e-ink — convert image, send via Waveshare library, set refresh loop
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5. Polish — airspace boundaries, callsign labels, altitude colour coding, frame/mount
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## Notes
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- E-ink only consumes power on refresh — extremely low idle draw
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- Display powered directly from Pi GPIO, no separate PSU needed
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- Pi Zero 2W could work as a low-power dedicated host once software is built and optimised on Pi 5
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- ESP32/Pi Pico not suitable — no USB host for RTL-SDR dongle
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- Script estimated ~100-150 lines of Python
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- Hardest part: converting lat/lon to pixel coordinates within the display dimensions
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