Intelligent AI Smart Helmet
Alcohol Detection | Accident Prediction | Emergency Response Automation
1. Project Overview
This project develops an AI-powered smart helmet using ESP32, MQ3 alcohol sensor, MPU6050, GPS, ThingSpeak cloud, n8n automation, Google Sheets and Telegram alerts.
2. Objectives
- Alcohol Detection
- Helmet Wear Detection
- Accident Detection
- Accident Prediction
- GPS Tracking
- Telegram Alerts
- Voice Notifications
- Google Sheets Logging
- ThingSpeak Dashboard
- AI Agent Safety Analysis
3. Components List
| Component | Quantity |
|---|---|
| ESP32 | 1 |
| MQ3 Alcohol Sensor | 1 |
| MPU6050 Sensor | 1 |
| NEO-6M GPS Module | 1 |
| IR Helmet Sensor | 1 |
| Buzzer | 1 |
| Battery Pack | 1 |
| TP4056 Charger | 1 |
4. System Architecture
Helmet Sensors
|
V
ESP32
|
V
ThingSpeak Cloud
|
V
n8n Workflow
|
V
AI Agent Analysis
|
--------------------
| | |
V V V
Telegram Sheets Voice Alerts
5. Circuit Connections
MQ3 AO -> GPIO34 MPU6050 SDA -> GPIO21 MPU6050 SCL -> GPIO22 GPS TX -> GPIO16 GPS RX -> GPIO17 IR Sensor -> GPIO25 Buzzer -> GPIO27
6. Accident Detection Formula
a = sqrt(x² + y² + z²) IF a > 3g THEN Accident Detected
7. AI Risk Prediction
| Parameter | Weight |
|---|---|
| Hard Braking | 20 |
| High Tilt | 25 |
| High Speed | 20 |
| Sudden Turns | 20 |
| Alcohol | 15 |
Risk Score = Σ(Wi × Fi) If Risk > 70 Send Warning Alert
8. Flowchart Logic
START Initialize Sensors Read Helmet Sensor Helmet Worn? NO --> Alert YES Read MQ3 Alcohol? YES --> Alert NO Read MPU6050 Calculate Risk Risk > 70 ? YES --> Warning NO Accident? YES --> Emergency Alert NO Upload Data Repeat
9. ESP32 Sample Code
float alcoholValue;
float acceleration;
float riskScore;
void loop()
{
alcoholValue = analogRead(34);
readMPU();
riskScore = calculateRisk();
if(alcoholValue > 2000)
{
sendAlert();
}
if(acceleration > 3.0)
{
sendEmergency();
}
uploadThingSpeak();
delay(1000);
}
10. ThingSpeak Fields
| Field | Description |
|---|---|
| Field1 | Alcohol Level |
| Field2 | Acceleration |
| Field3 | Risk Score |
| Field4 | Latitude |
| Field5 | Longitude |
| Field6 | Helmet Status |
11. n8n Workflow
Webhook | V Receive ESP32 Data | V AI Agent | / \ / \ V V Google Sheets Telegram Alerts
12. Telegram Bot Setup
- Open Telegram
- Search BotFather
- Create New Bot
- Get Bot Token
- Add Token to n8n Telegram Node
13. Voice Notification Automation
ESP32 | V n8n | V AI Text | V Text To Speech | V Telegram Voice Alert
14. Emergency Response Workflow
- Detect Accident
- Get GPS Coordinates
- Generate AI Message
- Send Telegram Alert
- Send Voice Message
- Update Google Sheet
- Update ThingSpeak Dashboard
15. AI Power Prediction
Power = Voltage × Current P = V × I Battery Life = Battery Capacity / Current Draw
AI predicts remaining battery life using previous sensor, WiFi and GPS usage patterns.
16. Future Enhancements
- TinyML Accident Prediction
- Driver Fatigue Detection
- Heart Rate Monitoring
- Voice Assistant
- AWS IoT Integration
- Firebase Dashboard
- Camera Based Safety Monitoring
17. Expected Outcomes
- Alcohol Detection
- Accident Detection
- Accident Prediction
- GPS Tracking
- AI Safety Analysis
- Telegram Voice Alerts
- Google Sheets Logging
- ThingSpeak Dashboard
- Emergency Response Automation
