🧠 Smart Room IoT Monitoring – MR60FDA2

📡 Sistem IoT untuk deteksi keberadaan manusia, fall detection, dan otomatisasi lampu menggunakan mmWave Radar, sensor cahaya, dan MQTT.

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📌 Overview

Project ini merupakan sistem IoT Smart Room berbasis ESP32/ESP8266 yang menggunakan Seeed MR60FDA2 mmWave Radar dan BH1750 Light Sensor. Sistem mampu mendeteksi keberadaan manusia, kondisi jatuh (fall detection), serta mengontrol lampu ruangan secara otomatis berdasarkan intensitas cahaya. Data dikirim dan dimonitor melalui MQTT.

Project ini terinspirasi dan disusun dengan gaya dokumentasi seperti repository IoT pada umumnya dan cocok untuk Smart Building, Smart Hotel, maupun Capstone Project.

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🧩 System Architecture

        ┌───────────────────────────────────────────────┐
        │                Smart Room IoT                 │
        ├───────────────────────────────────────────────┤
        │                                               │
        │  mmWave Radar     BH1750 Light Sensor          │
        │     │                   │                     │
        │     ▼                   ▼                     │
        │  ESP32/ESP8266 ── Logic Control ── Relay Lamp │
        │         │                  │                  │
        │         ▼                  ▼                  │
        │       MQTT Client → MQTT Broker                │
        │                                               │
        │      WiFiManager Auto Config Portal            │
        │                                               │
        └───────────────────────────────────────────────┘

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🚀 Features

• 🎯 Human Presence Detection (PEOPLE / NO_PEOPLE)
• 🚨 Fall Detection (PEOPLE_FALL)
• 💡 Automatic Lamp Control using Relay
• 🌗 Light Intensity Detection (Lux)
• 📡 MQTT Publish & Subscribe
• 🔄 Event-based MQTT (on status change)
• ⏱️ Telemetry data every 15 seconds
• 🌐 WiFi Auto Connect & Recovery
• ⚙️ WiFi Configuration Portal (WiFiManager)
• 🎨 NeoPixel LED Status Indicator

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🛠️ Hardware Requirements

• ESP32 / ESP8266
• Seeed Studio MR60FDA2 mmWave Radar
• BH1750 Light Intensity Sensor
• Relay Module
• NeoPixel LED

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📚 Libraries Used

• Adafruit NeoPixel
• hp_BH1750
• Seeed_Arduino_mmWave
• PubSubClient
• WiFiManager

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⚙️ MQTT Configuration

const char* MQTT_HOST  = "103.106.72.181";
const uint16_t MQTT_PORT = 1883;
const char* MQTT_USER  = "capstone";
const char* MQTT_PASSW = "hint12345";
const char* MQTT_TOPIC = "hitam";

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📡 MQTT Payload Format

Status Change

{
  "event": "status_change",
  "room_id": "SUITE-5",
  "nilai_sensor": 0,
  "status": "PEOPLE"
}

Telemetry (15 Seconds)

{
  "telemetry": true,
  "room_id": "SUITE-5",
  "nilai_sensor": 0,
  "status": "NO_PEOPLE",
  "lux": 8.7,
  "rssi": -67
}

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🧠 System Logic

• Lamp ON if:

  • Human detected or fall detected
  • Light intensity < 10 lux

• Lamp OFF if:

  • No human detected
  • Light intensity ≥ 10 lux

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🎨 LED Indicator

Status	Color
PEOPLE	🟢 Green
PEOPLE_FALL	🔴 Red
NO_PEOPLE	🔵 Blue

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🌐 WiFiManager

• AP Name: MR60FDA2-SUITE5
• Password: 12345678

MQTT Commands

• relay_on → Turn lamp ON
• relay_off → Turn lamp OFF
• reset_wifi → Reset WiFi credentials

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▶️ How to Use

1. Open project in Arduino IDE
2. Install required libraries
3. Select ESP32 / ESP8266 board
4. Upload code to device
5. Connect to WiFiManager AP if needed

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📂 Project Structure

├── main.ino
└── README.md

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🎓 Project Purpose

This project is developed as part of an IoT Capstone / Smart Room Automation System, focusing on safety monitoring and energy efficiency.

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📜 License

MIT License

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✨ Built with Arduino, MQTT, and mmWave Radar