Beta Menengah

Penjaga Lansia di Rumah

Jatuh, darurat kamar mandi, dan perubahan rutinitas — terdeteksi menembus dinding, sepenuhnya privat.

What it takes

A validation-ready kit with a guided handoff.

Jatuh, darurat kamar mandi, dan perubahan rutinitas — terdeteksi menembus dinding, sepenuhnya privat. Kit ini menggelar runtime LatentField 2.0 untuk dunia Elderly: mesh WiFi-CSI ESP32-S3 memberi umpan ke pipeline yang sama (compressed sensing, manifold anomali PCA + MVE, medan tomografi radio, kompartemen) yang divalidasi pada 312 GB data riset publik. Berjalan lokal atau dalam kontainer, disandingkan ke akunmu dengan PIN kode-klaim, dan melapor dalam bahasa yang jelas. Kemampuan: presence, motion_level, breathing_rate, fall_detect, sleep_quality_proxy, zone_dwell, gait_signature. Jelajahi semuanya di /v/elderly-care.

Starting hardware~$130

Typical setup60 min

Core hardwareESP32-S3 CSI mesh + LatentField 2.0 runtime

Data approachLocal by default

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01Pair

One-time PIN adds the correct devices to this setup.

02Verify

Latent checks the live heartbeat before publishing.

03Hand off

The recipient receives a calm, branded app—not a control panel.

What is included

3× node CSI ESP32-S3 (Seeed XIAO / T-Dongle-S3)×3	~$27
Hub USB bertenaga + kabel USB-C	~$18
Host runtime — Raspberry Pi 5, mini-PC, atau komputer apa pun yang selalu menyala (atau kontainer)	~$80
Estimated hardware total	~$130

Preview the installation

1Flash node mesh CSI

2Jalankan runtime LatentField 2.0

3Kalibrasi pada ruang kosong

4Baca medan Elderly

Open the step-by-step preview

Evidence, source and technical config

ReadinessBeta

Source projectlatent-field2.0

SensorsWiFi CSI

The full deployment config is exposed for technical review and can be copied or downloaded.

# LatentField 2.0 — Aging-in-Place Guardian runtime config # Runs on the host with: lf2 run --config configs/verticals/elderly_care.yaml pipeline: { vertical: elderly_care } capabilities: - presence - motion_level - breathing_rate - fall_detect - sleep_quality_proxy - zone_dwell - gait_signature zones: - { name: bedroom, shape: rect, x0: 0, y0: 0, x1: 3, y1: 4 } - { name: bathroom, shape: rect, x0: 3, y0: 0, x1: 5, y1: 2 } - { name: living, shape: rect, x0: 3, y0: 2, x1: 6, y1: 5 } manifold: { baseline: activity } # lived-in space: routine is normal, departures alert

Reviews and field notes (0)

No field notes yet. Evidence and readiness are still shown above so an empty review list never pretends to be proof.