Stillpoint

Stillpoint

A privacy-first ceiling sensor that counts people, knows their posture and reports falls,
using a 60 GHz radar instead of a camera.

Project page →

• Sees the room, never the person. No camera, no microphone. A 60 GHz FMCW radar (Infineon BGT60TR13C) measures where people are and how they move.
• Finds people who are perfectly still, by the movement of their chest as they breathe, so someone sitting or lying quietly does not "disappear".
• Counts people, tracks position and posture, and reports falls, all from one stream: no modes to switch between.
• Runs entirely on the device (Silicon Labs MGM260P / EFR32MG26) and reports over Matter on Thread with standard clusters: no cloud, no account, works with Home Assistant.
• Open hardware: KiCad schematic and 4-layer Ø60 mm board, FreeCAD enclosure, C firmware and the Python reference it is tested against.

Not a medical device. A fall alert is a notification, never the only safety measure for a person.

The board

Top (ceiling side)	Bottom (radar, faces the floor)

Layout highlights:

• Radar ground done by the book. Solid ground on L2, a ground island on L3 right under the chip, nothing but ground vias inside the ball ring, and a custom DRC rule that keeps every other net off the inner layers under the radar.
• Every radar supply is a straight lane from its ball through 100 nF → 1 µF → 10 µF to its ferrite, with the smallest capacitor closest to the ball (Infineon's reference filter).
• No crossing radar lines. The radar signals leave the MCU from the pad row that faces the level translators, and the two translators are split over both faces to match the radar's ball order.

Fabrication files (Gerber, drill, BOM and CPL for JLCPCB, schematic PDF, STEP) are in hardware/fabrication/ and attached to the rev A release. Full design notes: docs/hardware.md.

The enclosure

A Ø65 mm, 24 mm tall ceiling puck on a Ø77 mm ceiling plate, 3D-printed in natural PETG. The bottom of the shell is the radome: a flat slab exactly half a wavelength thick inside the plastic (1.48 mm), so the 60 GHz signal passes through with about 0.15 dB of loss, and the radar's antennas sit one wavelength (4.95 mm) above it. The board rests on three supports and the lid clamps it with three posts at the same angles; the USB-C cable leaves through the lid, against the ceiling.

The FreeCAD model (mechanical/enclosure.py) loads the real board STEP and checks that nothing touches the shell, the lid or the radome, and that no plastic sits in the antennas' ±60° field of view.

How it works

ADC (3 RX × 32 chirps × 128 samples, 10 Hz)
  → range FFT ─┬─ motion path: MTI + Doppler + CFAR + angle   (people who move)
               └─ micro-motion path: 10 s of phase, breathing  (people who are still)
  → 3D detections → tracks with room logic (doors, occlusion, ghosts)
  → 66-byte feature record per track (the contract)
  → int8 CNN (14.6 KB) every 0.5 s → fail-safe decision → Matter

The fixes for the classic failures of commercial radar sensors are regression tests:

The C firmware is checked frame by frame against the Python reference: same counts, ≥ 99.8 % identical quantized features, and identical postures, fall decisions and alarm times (plot).

License

CERN-OHL-S-2.0 (CERN Open Hardware Licence v2, strongly reciprocal) for the whole project: schematic, board, mechanics, firmware and documentation.