π₯ Smart Hospital Queue Monitor
RFID Token Verification Β· IR Edge Detection Β· On-Device AI Prediction
Live via MQTT WebSocket Β· No Backend Required Β· 100% ESP8266
π‘
Waiting for ESP8266 dataβ¦
Make sure your ESP8266 is powered on and publishing to the same MQTT topic.
π« Token Tracker β RFID Verification Window
0 / 5 ACTIVE
π Live Metrics
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Queue Length
0
Verified patients in line
π₯
People in Area
0
Total tracked (IR edge detect)
β 0 verified
β³ 0 pending
β±οΈ
Predicted Wait
0.0 min
On-device weighted model
β¬ Collecting dataβ¦
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Last RFID Tag
NONE
Last scanned patient
π People Count History (last 20 readings)
π§ On-Device AI Features
Rolling Avg (5)
0.00
Moving average of people count
Entry Velocity
0.00
Rate of change in crowd
Queue Pressure
0.00
queue / (people + 1)
Anomaly Z-Score
0.00
Statistical deviation
π Session Statistics
AIoT Smart Hospital Monitor Β·
100% On-Device + MQTT Β·
RFID Token Verification Β· IR Edge Detection Β· Z-Score Anomaly Detection
GitHub Β·
Powered by ESP8266 β MQTT β GitHub Pages Β· No Backend Required