IoT-Enabled Safety Helmet for Worker Protection

Overview

This project presents an IoT-enabled safety helmet designed to enhance worker safety in hazardous environments such as mines and industrial workplaces. The helmet integrates various sensors, communication modules, and real-time data monitoring and alert systems to provide comprehensive protection and proactive safety measures.

Features

• Gas Detection: Detects harmful gases like methane and carbon monoxide using the MQ-2 sensor.
• Temperature Monitoring: Monitors ambient temperature using the DHT11 sensor.
• Fall Detection: Detects worker falls with the MPU6050 accelerometer and gyroscope.
• Light Adaptation: Adjusts visibility in low-light environments using an LDR sensor and headlamp.
• IoT Connectivity: Real-time data visualization and monitoring via ThingSpeak.
• Emergency Alerts: Sends SMS notifications using Twilio API during emergencies.
• Two-Way Communication (Planned): Enables direct voice communication via the SIM800H GPRS module..

Technologies Used

• Microcontroller: ESP32
• Sensors: MQ-2, DHT11, MPU6050, LDR
• IoT Platform: ThingSpeak
• SMS Service: Twilio API
• Communication Module: SIM800H
• Programming: Arduino IDE, Embedded Systems

How It Works

1. Data Collection: Sensors continuously monitor environmental and worker conditions.
2. Hazard Detection: Threshold-based detection for gas levels, temperature, light, and fall events.
3. Real-Time Alerts: Visual (LEDs), auditory (buzzer), and remote (SMS via Twilio) notifications.
4. Two-Way Communication: Facilitates direct voice calls for immediate assistance.
5. Data Visualization: Real-time data uploaded to ThingSpeak for monitoring and analysis.

Getting Started

Hardware Requirements

1. Sensors: MQ-2 (gas), DHT11 (temperature), MPU6050 (fall), LDR (light).
2. Modules: ESP32, SIM800H (GPRS).
3. Additional components: LEDs, buzzer, fan, lithium-ion battery, and optional solar panel for power.

Software Requirements

1. Arduino IDE with the following libraries installed:
   • Adafruit_MPU6050
   • Adafruit_Sensor
   • DHT Sensor Library
   • PulseSensor Playground
   • WiFi.h
   • HTTPClient.h
   • SoftwareSerial
2. ThingSpeak API Key: For IoT data visualization.
3. Twilio Credentials: For sending SMS notifications.

Setup Instructions

1. Clone the repository:

   git clone https://github.com/yourusername/miners-safety-helmet.git

2. Open helmet_code.ino in the Arduino IDE.
3. Update the following placeholders in the code: *Wi-Fi credentials (ssid,password) *ThingSpeak API key (thingSpeakAPIKey) *Twilio credentials (accountSID, authToken, twilioNumber, recipientNumber).
4. Upload the code to your ESP32.
5. Assemble the hardware components and power on the helmet.

Execution

• Real-Time Monitoring: View sensor data on the ThingSpeak dashboard.
• Emergency Alerts: Test hazard detection features to trigger SMS notifications via Twilio.
• Two-Way Communication: Test voice calls using the SIM800H module.

Code

The complete source code for the project is located in the src/helmet_code.ino file. Click here to view the code.

Contributions

Contributions are welcome! If you'd like to improve this project, feel free to fork the repository, make your changes, and submit a pull request. For major changes, please open an issue to discuss what you would like to change.

License

This project is licensed under the MIT License.

Acknowledgments

Special thanks to the team:

• Nihar Singla Contact via email
• Team Members: Piyush Garg, Manan Khandelwal, Bhavesh Choudhary, Divyanshu Bansal
• Mentor: Dr. Sandeep Contact via email