PERFORMANCE METRICS — FIELD TEST DATA
INCIDENT DETECTION TO DISPATCH
1.8seconds
Traditional 112: 4 min avg
AI TRIAGE ACCURACY
94% confidence
Traditional 112: Manual — subjective
CONCURRENT INCIDENT CAPACITY
1,024nodes
Traditional 112: 3-5 per operator
SOCKET LATENCY
< 50ms P95
Traditional 112: REST polling — 2-5s
SYSTEM INTERFACES
Four Screens. One System.
HOW IT WORKS
Sense → Decide → Deploy
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STEP 01
Sense
Vehicle OBD-II + accelerometer detects G-force spike. Phone sensor detects via DeviceMotion API. SOS manual trigger available.
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STEP 02
Decide
Claude AI receives sensor payload, assesses severity (CRITICAL / HIGH / MODERATE / LOW), predicts injuries, recommends units — in < 800ms.
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STEP 03
Deploy
Socket.IO broadcasts to 112 dispatch, hospital staff, and victim status screen simultaneously. Units dispatched, hospital alerted.
SYSTEM ARCHITECTURE
Hardware + Cloud Pipeline
┌─────────────────────────────────────────────────────────────────┐
│ DISPATCHAI HARDWARE STACK │
├──────────────┬──────────────┬───────────────┬──────────────────┤
│ RASPBERRY │ SENSORS │ COMM LAYER │ CLOUD LAYER │
│ PI 4B │ │ │ │
│ │ ● Thermal │ │ ┌────────────┐ │
│ ┌────────┐ │ Camera │ WiFi/4G LTE │ │ Node.js │ │
│ │ CPU │ │ │ ─────────► │ │ + Skt.IO │ │
│ │ 1.8GHz │ │ ● MPU-6050 │ │ └─────┬──────┘ │
│ └────────┘ │ Accel. │ POST /api/ │ │ │
│ │ │ crash-event │ ▼ │
│ ┌────────┐ │ ● OBD-II │ │ ┌────────────┐ │
│ │ 4GB │ │ ELM327 │ │ │ CLAUDE AI │ │
│ │ RAM │ │ │ │ │ (Sonnet) │ │
│ └────────┘ │ ● GPS u-blox│ │ └─────┬──────┘ │
│ │ │ │ │ │
│ ┌────────┐ │ ● MQ-2 Gas │ │ ▼ │
│ │ Touch │ │ Sensor │ │ Broadcast to: │
│ │ HMI │ │ │ │ ● 112 Dispatch │
│ └────────┘ │ │ │ ● Hospital │
│ │ │ │ ● User App │
└──────────────┴──────────────┴───────────────┴──────────────────┘