Plug-in AI safety sensor
Falls, inactivity, vital sign anomalies — detected instantly, through walls, in complete darkness. One device per room. No wearable. No camera. No behavior change required from the person being protected.
Sudden phase acceleration followed by zero movement. Alert fires to staff or family before anyone knows to check.
Contactless chest movement monitoring. Detects apnea, distress breathing, and abnormal respiratory patterns overnight.
Blood pulse micro-Doppler detection through clothing and bedding. No contact, no wearable, no cooperation required.
No movement detected for a set window — default 2 hours daytime. The alert that finds people who can't call for help.
Knows if a room is occupied with no line of sight. Works through drywall, wood, and fabric. Instant occupancy status.
Erratic or panicked movement patterns trigger a separate alert class from routine activity or normal agitation.
Overnight breathing patterns classify light, deep, and REM sleep. Apnea screening as a passive background function.
Time-in-stall plus breathing presence. Public restroom overdose detection. School bathroom safety monitoring.
Halo Home draws power directly from any standard wall outlet via built-in AC adapter. No batteries, no wiring, no IT infrastructure. One plug per room.
Joins the facility WiFi automatically on first boot using pre-provisioned credentials. Shows up in the Halo dashboard within 60 seconds.
The onboard AI maps the room's baseline signal environment. No manual configuration. No cameras to aim. No sensitivity dials.
Fall, inactivity, or vital sign alert fires to mobile app, nurse station, or facility management software via webhook. Configurable per room.
Hardware ships at cost. Revenue is the monitoring subscription — aligned with your residents' safety, not a device sale.
Billed annually. Volume pricing available for 500+ rooms.
Direct-to-consumer. Cancel anytime. Family dashboard included.
| Parameter | Specification |
|---|---|
| Sensing Technology | WiFi Channel State Information (CSI) · 56 subcarriers |
| Detection Range | Up to 5m through standard construction |
| Breathing Detection | 6–30 BPM · real-time · ±1 BPM accuracy |
| Heart Rate Detection | 40–120 BPM · real-time |
| Fall Detection Latency | <2 seconds from event |
| Presence Accuracy | Calibrated to environment · 30s ambient calibration |
| Processor | ESP32-S3 · Xtensa LX7 dual-core 240MHz |
| Memory | 16MB Flash · 8MB PSRAM |
| AI Model Size | 8 KB (4-bit quantized) · runs fully on-device |
| Connectivity | WiFi 2.4GHz · 802.11 b/g/n |
| Power | AC 100–240V via integrated adapter · ~1.25W idle |
| Form Factor | Wall plug · no external cables |
| Data Processing | On-device edge AI · no cloud required for detection |
| Alert Delivery | Mobile push · webhook · REST API · MQTT |
| Operating Temperature | 0°C to 50°C |
| Certifications | FCC · CE · RoHS (in process) |
Schedule a 30-minute demo. We'll spec coverage for your facility and walk through integration with your existing systems.