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Konsep Menengah

Node Kehadiran Kabin

Kehadiran anak dan hewan serta okupansi kabin — dideteksi oleh kabin itu sendiri.

Explore the Automotive possibilities →

What it takes

A feasibility kit with an honest path to validation.

Kehadiran anak dan hewan serta okupansi kabin — dideteksi oleh kabin itu sendiri. Kit ini menggelar runtime LatentField 2.0 untuk dunia Automotive: 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, breathing_rate, motion_level, occupancy_estimate. Jelajahi semuanya di /v/automotive.

Starting hardware~$40
Typical setup45 min
Core hardwareESP32-S3 CSI mesh + LatentField 2.0 runtime
Data approachLocal by default

Explore freely. Create an account only when you want to save and deploy.

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
1× node CSI ESP32-S3 (Seeed XIAO / T-Dongle-S3)~$9
Host runtime — Raspberry Pi 5, mini-PC, atau komputer apa pun yang selalu menyala (atau kontainer)~$80
Estimated hardware total~$40
Preview the installation
1Flash node mesh CSI
2Jalankan runtime LatentField 2.0
3Kalibrasi pada ruang kosong
4Baca medan Automotive
Open the step-by-step preview
Evidence, source and technical config
ReadinessKonsep
Source projectlatent-field2.0
SensorsWiFi CSI

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

# LatentField 2.0 — Cabin Presence Node runtime config # Runs on the host with: lf2 run --config configs/verticals/automotive.yaml pipeline: { vertical: automotive } capabilities: - presence - breathing_rate - motion_level - occupancy_estimate zones: - { name: cabin, shape: rect, x0: 0, y0: 0, x1: 3, y1: 2 } manifold: { baseline: activity } # lived-in space: routine is normal, departures alert
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