{"id":27374307,"url":"https://github.com/noeljoyce6/smarthelmetproject","last_synced_at":"2026-04-13T17:02:19.947Z","repository":{"id":287444896,"uuid":"963559103","full_name":"noeljoyce6/SmartHelmetProject","owner":"noeljoyce6","description":"A smart helmet system using ESP32 for rider safety, featuring fall detection, health monitoring, alcohol sensing, and emergency SMS with 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health monitoring, accident detection, and emergency alert systems — all powered by the ESP32 microcontroller.\n\n---\n\n## 🚀 Features\n\n- ✅ **Heart Rate \u0026 SpO₂ Monitoring** — Using MAX30105 sensor\n- ✅ **Fall Detection** — MPU6050 (Accelerometer + Gyroscope)\n- ✅ **Alcohol Detection** — MQ3 gas sensor to detect alcohol consumption\n- ✅ **Helmet Wear Detection** — Infrared (IR) sensor\n- ✅ **Emergency Alerts via SMS** — SIM800L GSM module\n- ✅ **Live GPS Tracking** — Location sent via Google Maps link\n- ✅ **Real-Time Data Plotting** — Heart rate, SpO₂, and EEG simulation using MATLAB\n\n---\n\n## ⚙️ Hardware Components\n\n| Component        | Description                                |\n|------------------|--------------------------------------------|\n| ESP32            | Main microcontroller with Wi-Fi \u0026 BLE      |\n| MAX30105         | Heart Rate \u0026 SpO₂ Sensor                   |\n| MPU6050          | Fall Detection (Accelerometer + Gyro)     |\n| MQ3              | Alcohol detection sensor                   |\n| IR Sensor        | Helmet wear detection                      |\n| SIM800L          | GSM Module for SMS                         |\n| TinyGPS++        | For parsing GPS location                   |\n| Buzzer           | Warning alert system                       |\n\n---\n\n## 📡 Working Principle\n\n1. Rider wears the helmet → IR sensor confirms helmet is worn.\n2. Monitors vitals continuously using MAX30105.\n3. Detects alcohol content via MQ3.\n4. MPU6050 senses abnormal motion (falls or accidents).\n5. If an accident is detected:\n   - System checks vitals and alcohol status.\n   - Sends emergency SMS with:\n     - Rider’s condition (fine/not fine)\n     - Heart Rate \u0026 SpO₂\n     - Location as a Google Maps link\n6. All vitals can be visualized in **MATLAB** using live plots.\n\n---\n\n## 🧠 Software \u0026 Tools\n\n- **Arduino IDE** (ESP32 Programming)\n- **MATLAB** (Live Data Visualization)\n- **Libraries Used:**\n  - `TinyGPS++`\n  - `Adafruit_Sensor`\n  - `Wire.h`, `SoftwareSerial`, etc.\n\n---\n\n\n---\n\n## 🙏 Acknowledgements\n\nSpecial thanks to our guide Prof.Agi George for constant support and technical mentorship throughout this project.\n\n---\n\n## 📁 Project Structure\n\n```bash\nSmartHelmetProject/\n├── SmartHelmet.ino         # Main ESP32 code\n├── MATLAB/\n│   └── live_plot.m         # Real-time plots for Heart Rate, SpO2, EEG\n├── Images/\n│   └── circuit_diagram.png\n└── README.md               # This file\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnoeljoyce6%2Fsmarthelmetproject","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnoeljoyce6%2Fsmarthelmetproject","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnoeljoyce6%2Fsmarthelmetproject/lists"}